Python Developer Jobs in Qatar
410 Jobs Found
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI<br><br>As a Dev Ops Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure.<br><br>At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.<br><br>You will:<br><br>Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components. Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs. Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, Cloud Formation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments. Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability. Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.<br><br>Ideally you’d have:<br><br>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred) Track record of independent ownership of successful engineering projects Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Strong knowledge of software engineering best practices and CI/CD tooling (Circle CI, Github Actions) Solid foundation and real-world experience in network engineering<br><br>Nice to haves:<br><br>Experience working cross functionally with operations Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt) Experience with authentication/authorization systems (Zanzibar, Authz, etc.) Experience with NoSQL document databases (Mongo DB) and structured databases (Postgres) Experience with hybrid or on-prem systems Experience with orchestration platforms, such as Temporal and AWS Step Functions<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
<h2 class="h5">Job description</h2>
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<p><b>Position Overview</b></p><p><br></p><p>We are seeking a talented Full Stack Developers to join our growing technology team. You will work on building and scaling applications across web and mobile platforms, collaborating with product, design, and backend teams to deliver high-quality solutions. This role offers the opportunity to work on diverse projects, from user-facing interfaces to backend infrastructure, across multiple platforms.</p><p><br></p><p><b>Big Focus: </b>AI, LLMs, RAG & Agentic Orchestration</p><p><br></p><p><b>Primary focus of this role:</b> designing and building with Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent/agentic orchestration systems </p><p><br></p><p>We're looking for developers who think in terms of orchestrating AI agents to do the work - directing, prompting, and composing agentic workflows rather than defaulting to manual, line-by-line coding</p><p><br></p><p>- Hands-on experience with MCP (Model Context Protocol) is a strong plus, and a genuine interest in growing further in this direction is essential</p><p>- Comfort working with LLM APIs (OpenAI, Anthropic, etc.), vector databases, embeddings, and prompt/context engineering</p><p>- Experience building or integrating AI copilots, assistant and autonomous agent workflows into production apps</p><p><br></p><p><b>Key Responsibilities</b></p><p>● Design, develop, and maintain full stack web and mobile applications using modern technologies</p><p>● Build responsive web applications and native/cross-platform mobile applications</p><p>● Write clean, maintainable, and testable code across frontend, mobile, and backend</p><p>● Implement responsive user interfaces optimized for web and mobile platforms</p><p>● Build and optimize RESTful APIs and database solutions</p><p>● Develop mobile apps for iOS and/or Android platforms</p><p>● Manage app deployment to App Store, Google Play, and other platforms</p><p>● Collaborate with cross-functional teams to define requirements and deliver solutions</p><p>● Participate in code reviews, testing, and deployment processes</p><p>● Troubleshoot and debug production issues across all platforms</p><p>● Stay current with emerging technologies and best practices in web and mobile development</p><p><br></p><p><b>Required Qualifications</b></p><p>● 3+ years of professional full stack development experience</p><p>● Strong proficiency in JavaScript/TypeScript and modern frontend frameworks (React, Vue, or Angular)</p><p>● Experience with mobile development (React Native, Flutter, Swift, Kotlin, or native mobile development)</p><p>● Backend development experience with Node.js, Python, Java, or similar server-side languages</p><p>● Working knowledge of relational and/or NoSQL databases</p><p>● Experience with Git version control and collaborative development workflows</p><p>● Understanding of web and mobile security best practices</p><p>● Strong problem-solving and debugging skills</p><p>● Excellent communication and teamwork abilities</p><p><br></p><p><b>Preferred Qualifications</b></p><p>● Experience publishing apps to App Store and Google Play</p><p>● Familiarity with cloud platforms (AWS, GCP, Azure)</p><p>● Experience with Docker and containerization</p><p>● Experience with CI/CD pipelines and DevOps practices</p><p>● Knowledge of testing frameworks and TDD methodologies for web and mobile</p><p>● Experience with cross-platform mobile development frameworks</p><p>● Experience with agile development processes</p><p>● Portfolio or GitHub repositories demonstrating web and mobile projects</p><p>● Experience working on SaaS or B2B applications</p><p>● Knowledge of app performance optimization and mobile device constraints</p><p><br></p><p><b>Core Technical Skills</b></p><p>Frontend:</p><p>HTML5, CSS3, JavaScript/TypeScript, React/Vue/Angular, responsive design, web performance optimization</p><p>Mobile:</p><p>React Native, Flutter, Swift (iOS), Kotlin (Android), mobile UI/UX, native APIs, app lifecycle management</p><p>Backend:</p><p>Node.js, Express, REST APIs, GraphQL, authentication/authorization, database design, backend optimization for mobile</p><p>Tools & Infrastructure:</p><p>Git, npm/yarn, webpack/bundlers, testing tools (Jest, Mocha, XCTest, Espresso), Unix/Linux basics, Xcode, Android Studio</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Big Focus: </b>AI, LLMs, RAG & Agentic Orchestration</p><p><br></p><p><b>Primary focus of this role:</b> designing and building with Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent/agentic orchestration systems </p><p><br></p><p>We're looking for developers who think in terms of orchestrating AI agents to do the work - directing, prompting, and composing agentic workflows rather than defaulting to manual, line-by-line coding</p><p><br></p><p>- Hands-on experience with MCP (Model Context Protocol) is a strong plus, and a genuine interest in growing further in this direction is essential</p><p>- Comfort working with LLM APIs (OpenAI, Anthropic, etc.), vector databases, embeddings, and prompt/context engineering</p><p>- Experience building or integrating AI copilots, assistant and autonomous agent workflows into production apps</p></div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p> <b>Job Title: Cards Analytics Specialist</b></p>
<p> <strong>Term: </strong>12 months </p>
<p> <strong>Location: </strong>Doha, Qatar</p>
<p> <strong>Division:</strong> Cards & Payments/ Retail Banking</p>
<p> <strong>Reports to: </strong>Head of Cards Product/ Head of Cards Portfolio/ Head of Cards Analytics</p>
<p> <strong>Relevant experience: </strong> </p>
<p>7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or financial services</p>
<p> <strong>Mandatory requirements: </strong> </p> <ol> <li>Proficiency in SQL and Excel</li> <li>Demonstrated experience in cards portfolio analytics (credit and/or debit) within banking or payments</li> <li>Experience with at least one data visualisation tool (Tableau, Power BI, or equivalent)</li> <li>Professional proficiency in English</li> <li>Immediately available or within 30- day notice</li> </ol>
<p> </p>
<p> <strong>PURPOSE OF THE PROJECT </strong> <br>The Cards Product and Portfolio teams require dedicated analytical capacity to strengthen data-driven decision-making across the card lifecycle; from acquisition and activation through spend growth, retention, and profitability. This role exists to embed a specialist analytics resource who will own the production and interpretation of portfolio performance reporting, diagnose emerging trends and risks, measure campaign effectiveness, and translate data into actionable recommendations for senior stakeholders. For the right candidate, this is an opportunity to directly influence a card portfolio's commercial trajectory working at the intersection of product strategy, marketing execution, and financial performance within a leading financial institution.<strong> <br> <br> </strong> </p>
<p> <strong>Key Activities<br>Core Responsibilities and Accountabilities</strong> <br> </p> <ul> <li>Portfolio performance reporting & monitoring (~35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio.</li> <li>Portfolio diagnostics & segmentation analysis (~25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities.</li> <li>Campaign measurement & effectiveness analysis (~20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns.</li> <li>Data-driven decision support (~15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions.</li> <li>Data quality & automation (~5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users.</li> <li>Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action.</li> <li>Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition activation usage retention attrition), identifying underperforming segments and recommending targeted interventions.</li> <li>Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations.</li> <li>Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.</li> <li>Translate analytical findings into clear, concise insight packs and presentations for senior management, ensuring recommendations are commercially grounded and linked to portfolio P&L levers (interchange, fee income, cost of funds, provision rates).</li> <li>Collaborate cross-functionally with Product, Marketing, Risk, Operations, and Finance teams to ensure data consistency, align on KPI definitions, and embed analytics into business planning and campaign execution cycles.</li> <li>Continuously improve data extraction, transformation, and reporting processes-automating manual workflows and enhancing data quality controls to increase efficiency and reduce error rates.<strong> <br> <br> </strong> </li> </ul>
<p> <strong>KPIs (illustrative) </strong> <br> </p> <ol> <li>Reporting timeliness & accuracy-% of scheduled reports delivered on time with </li><li>Dashboard adoption-% of stakeholders actively using self-serve dashboards (target: 70%+ monthly active users)</li> <li>Campaign ROI measurement coverage-% of card campaigns with completed pre/post analysis delivered within 10 business days of campaign close</li> <li>Insight-to-action conversion-Number of analytical recommendations adopted by Product/Marketing per quarter</li> <li>Ad-hoc request turnaround-Average time to deliver ad-hoc analytical requests (target: 3 business days)</li> <li>Automation rate-Number of manual reports converted to automated/self serve per quarter<strong> <br> <br> </strong> </li> </ol>
<p> <strong>Knowledge and Experience</strong> <br> </p> <ul> <li>7 years in a cards analytics, portfolio analytics, or business intelligence role within banking, payments, or fintech</li> <li>Exposure to retail banking, consumer lending, or credit risk analytics preferred</li> <li>Cards portfolio management concepts: acquisition funnels, activation rates, spend behaviour, ENR/balance build, attrition, delinquency, and profitability drivers</li> <li>Understanding of card P&L structure (interchange income, fee income, cost of funds, scheme fees, provision/write-off)</li> <li>Campaign lifecycle analytics: targeting, segmentation, control-group design, uplift measurement, and ROI</li> <li>Familiarity with card scheme reporting ( performance dashboards and benchmarking tools) -preferred</li> <li>SQL -proficient in writing complex queries for large datasets (mandatory)</li> <li>Excel -advanced (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) (mandatory)</li> <li>Tableau and/or Power BI -dashboard design and interactive reporting (mandatory)</li> <li>Python or R -for statistical analysis, data manipulation, and automation preferred</li> <li>SAS -portfolio analytics and data extraction -preferred<br> </li> <li>CRM and campaign management platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, SAS CI) - preferred</li> <li><br></li> </ul></div></section>
Whether facing acts of fraud, government investigations or regulatory inquiries, major litigation or transactional disputes, clients turn to EY Forensics for assistance.<br><br>We bring together forensic accountants, technologists, certified fraud examiners, anti-corruption and anti-money laundering specialists to help clients cut through complexity, respond with confidence and build stronger defences against financial crime.<br><br>Forensic technology is a key pillar of our forensic services, enabling us to apply advanced analytics, e Discovery, data privacy and cyber capabilities to help corporations identify, investigate and respond to complex risks, strengthen regulatory compliance and make more informed decisions.<br><br>Working alongside legal counsel, internal audit and compliance teams, we deliver practical, evidence-led solutions that address urgent issues, strengthen controls and reduce risk. Our cross-industry and global experience enables clients to assess fraud exposure, enhance compliance programmes and take a more proactive approach to integrity, transparency and resilience.<br><br>The opportunity<br><br>A position has arisen for a Senior Manager to join the business based in Doha, Qatar supporting MENA wide projects and clients in a growing forensic space and market. There will be a requirement for some regional travel.<br><br>Your Key Responsibilities<br><br>As a Senior Manager you will be a core part of the senior management team within Forensic & Integrity Services MENA. You will focus on the growth of the business within the MENA region. This will involve client and opportunity identification and ensuring these translate into revenue.<br><br>To this end you will develop and lead relationships with large corporate accounts and establish a strong revenue, build a market leading team capable of providing board level strategic advice and winning large transformation engagements that leverage the wider competencies of EY and raise EY's profile in the forensics area.<br><br>Specifically, you will need to:<br><br>Forensic investigations: Lead corruption, fraud, and forensic investigations including multi-jurisdictional matters, applying analytics to accelerate evidence identification and quantify losses. Financial analysis: Analyse company accounts, financial data, and large transactional datasets to identify indicators of high risk, red flags, fraud, misstatement, or irregularities. Anti-corruption & fraud prevention: Advise on data-driven monitoring analytics in the context of fraud and anti-bribery frameworks, performance and efficiency improvement and cost saving opportunities. Policies, processes & controls: Review internal controls, data integrity, and governance; recommend enhancements to strengthen fraud and compliance posture. Forensic reporting: Prepare defensible forensic reports with robust evidence review, chain of custody, and analytics documentation suitable for litigation and regulatory use. Cyber incident response (working knowledge): Understand the cyber incident response lifecycle and its intersection with fraud and financial crime. Support clients on cyber-enabled fraud incidents using analytics on logs, transactions, and endpoint data to reconstruct events and quantify impact. Collaborate with cyber/DFIR specialists to translate technical findings into business and regulatory impact. Business development: Deliver on sales targets, build a forensic data analytics pipeline, and contribute to propositions and thought leadership.<br><br>To qualify for the role, you must have<br><br>Strong academic record including a degree Related professional qualification and / or certification(s) The ability to travel nationally and internationally for extended periods and at short notice The ability to simultaneously handle diverse and pressing assignments and sensitive and adversarial situations A forensic mindset with critical thinking capabilities and high attention to detail<br><br>Ideally, you’ll also have<br><br>Arabic speaking, reading and writing capabilities Strong proficiency in SQL, Python, and/or R for large-scale data analysis and investigation. Hands-on experience with analytics and visualisation tools such as Alteryx, Power BI or Tableau Working knowledge of ERP data structures (SAP, Oracle) and financial/transactional datasets. Exposure to machine learning, text analytics, and network/link analysis for fraud detection. Working understanding of cyber incident response, log analysis, and DFIR fundamentals. Proven ability to lead engagements, manage multidisciplinary teams, and mentor junior staff. Strong client relationship, stakeholder management, and executive communication skills. Track record of business development, proposal writing, and delivering sales targets. Ability to translate complex technical findings into clear, actionable insights for non-technical audiences, including regulators, boards, and legal counsel.<br><br>What We Look For<br><br>We are interested in individuals with entrepreneurial skills who have the confidence to develop and promote our services internally and externally and grow a business within a larger organisation. You will be business savvy with a passion for innovation as well as the motivation to create your own EY journey.<br><br>What we offer<br><br>We offer a competitive compensation package where you’ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:<br><br>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.<br><br>If you can demonstrate that you meet the criteria above, please contact us as soon as possible. <br><br>The Exceptional EY Experience. It’s Yours To Build.<br><br>EY | Building a better working world <br><br>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.<br><br>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.<br><br>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
Instructors/Lecturers<br><br>at Qatar Technical Institute (QTI) form the backbone of the training ecosystem<br><br>and play a critical role in delivering high-quality UK Level 3/4 equivalent<br><br>vocational, technical and defence training, as well as Ministry of Education and<br><br>Higher Education (MoEHE)-approved undergraduate programmes, to military<br><br>students in Qatar.<br><br>The<br><br>primary responsibility of the Instructors/Lecturers is to plan, prepare,<br><br>deliver, assess and continuously improve learning activities that develop the<br><br>knowledge, skills, behaviours and competencies required by the Qatar Armed<br><br>Forces and other stakeholders. Instructors/Lecturers are expected to create<br><br>engaging, learner-centred environments that promote academic achievement,<br><br>practical competence, professional conduct and operational readiness.<br><br>Key Attributes Of Technical Instructors/Lecturers At QTI Include<br><br>Deliver high-quality theoretical and practical instruction. Prepare lesson plans and other training materials in accordance with approved curricula and awarding body requirements. Assess student performance and provide timely, constructive feedback. Maintain accurate student records in accordance with organisational policies and LMS platforms. Support curriculum development and continuous improvement initiatives. Ensure the safe operation and effective utilisation of laboratories, workshops, training equipment, simulators, and instructional resources. Maintain and enhance professional, technical, instructional, and subject matter expertise through Continuing Professional Development (CPD) activities. Participate in mandatory training, workshops, standardisation activities, and professional and industry engagement opportunities.<br><br>Instructors/Lecturers<br><br>are expected to demonstrate proficiency in the use of modern educational<br><br>technologies, digital learning platforms, audio-visual systems, interactive<br><br>training aids, and specialist laboratory or workshop equipment relevant to<br><br>their discipline. They must be capable of integrating technology-enhanced<br><br>learning approaches to improve student engagement and learning outcomes.<br><br>The<br><br>role requires strong technical expertise, effective communication skills,<br><br>professional integrity and a commitment to maintaining high standards of<br><br>teaching excellence, learner achievement and military/defence professionalism.<br><br>Core Responsibilities<br><br> Training Delivery and Technical Instruction:Plan, prepare and deliver high-quality theoretical, practical, laboratory, workshop and simulation-based training in accordance with approved curricula, schemes of work and learning outcomes. Deliver engaging and effective instruction using a range of teaching methodologies, including demonstrations, practical exercises, projects, discussions, problem-based learning and technology-enhanced learning. Demonstrate and supervise the safe and effective use of specialist equipment, tools, laboratories, workshops, simulators and training systems. Differentiate instruction to meet diverse learner needs and support progression towards vocational, technical, defence and higher education programmes. Utilise modern instructional technologies, digital learning platforms, and audio-visual training aids to enhance learner engagement and achievement. Learner Development, Assessment and Quality<br><br>Assurance<br><br>Monitor learner progress and provide timely coaching, mentoring and constructive feedback to support achievement and professional development. Conduct formative, summative, practical and competency-based assessments in accordance with approved assessment strategies and quality standards. Maintain accurate learner records, attendance data, assessment documentation and progress reports within required timescales. Contribute to internal quality assurance activities and the continuous improvement of training delivery, assessment practices, and learner outcomes. Courseware Development and Continuous<br><br>Improvement<br><br>Support the development, review, maintenance and enhancement of courseware, instructional materials, assessments and learning resources. Ensure instructional content remains technically accurate, current and aligned with organisational, military, awarding body and MoEHE requirements. Identify and implement opportunities to improve training effectiveness, learner engagement, and programme performance. Health, Safety and Professional Compliance:Demonstrate exemplary Health, Safety, Environmental and Security (SHE) behaviours and ensure compliance with all relevant policies, procedures and safe systems of work. Promote a safe, disciplined and professional learning environment within classrooms, laboratories, workshops and training facilities. Operate within established organisational communication, reporting, and escalation processes. Military/Defence Engagement and Professional<br><br>Conduct<br><br>Maintain positive and professional relationships with military personnel, learners, and stakeholders. Operate effectively within a military training environment while adhering to military protocols, standards and expectations. Provide instructional support and training cover as required to ensure continuity of programme delivery.<br><br>Requirements<br><br>Qualification/Trade Knowledge:<br><br>Essential<br><br>Recognised qualification at UK Level 4 or above in the relevant engineering, technical, vocational or professional discipline, or equivalent industry experience. A minimum of 5 years’ demonstrable industrial/defence experience and technical competence within the relevant subject area. A minimum of 2 years’ experience delivering technical, vocational, engineering, defence or professional training in a structured learning environment. Competent in the use of Microsoft Office applications and digital technologies to support training delivery and administration. <br><br>Desirable<br><br>Teaching, training, assessing or instructional qualification, or equivalent. Experience within a military, defence, aerospace, engineering or other highly regulated environment. Experience in curriculum development, courseware design, or assessment development. Knowledge of vocational education, competency-based training and quality assurance processes. Experience using Learning Management Systems (LMS), simulation technologies and digital learning platforms. Experience in teaching/training in a multicultural environment. European Aviation Safety Agency (EASA)/Defence Systems Approach to Training (DSAT) knowledge and compliance. Licence, defence certifications, relevant professional institution membership or professional registration. Evidence of ongoing Continuing Professional Development (CPD).<br><br>Subject Area Coverage<br><br>Primary: Knowledge, skills,<br><br>Qualifications And/or Experience In Delivering Undergraduate-level<br><br>Cybersecurity and related subjects. This may include, but is not limited to,<br><br>Java, Python, object-oriented programming, data structures, algorithms,<br><br>debugging, testing, computer architecture, assembly language, operating<br><br>systems, network fundamentals, network configuration, cybersecurity principles,<br><br>applied cryptography, secure communication, database design, AI concepts,<br><br>machine learning basics, data modelling, analytics, visualisation techniques,<br><br>forensic principles, evidence acquisition, preservation, reporting, SIEM tools<br><br>(Splunk, Sentinel, QRadar), cloud, mobile, IoT, encryption challenges,<br><br>cybersecurity analytics, mathematical reasoning applied to computing (storage,<br><br>bandwidth, data representation), and Cybersecurity Project Work. Candidates<br><br>should also be capable of delivering practical laboratory and workshop-based<br><br>instruction.<br><br>Secondary: In addition to the primary teaching<br><br>specialism, Instructors/Lecturers are required to support the delivery,<br><br>development, assessment, verification and administration of other subject<br><br>areas, programmes or training activities within the organisation, as directed<br><br>by the Customer, Line Manager, Head of Department or Head of the Organisation.<br><br>Such responsibilities will be allocated based on<br><br>The Instructors’/Lecturers’ Qualifications, Professional Experience,<br><br>industry background, demonstrated competence and previous teaching or training<br><br>experience. Where appropriate, Instructors/Lecturers may be provided with<br><br>internal training, mentoring, professional development, or familiarisation<br><br>activities to enable them to undertake additional teaching and training<br><br>responsibilities effectively.
About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team:<br><br>In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot.<br><br>Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Agoda Product Managers work closely with executive leadership and have high visibility among the C-suite; they have direct impact on Agoda’s growth and strategy. Product puts our travelers first and delivers that special travel experience in the most creative expression.<br><br>The opportunity:<br><br>This role is BANGKOK-BASED, RELOCATION PROVIDED. Our Senior Product Managers are analytical and data-driven individuals, who’re responsible for building products end-to-end focusing on analyzing and experimenting until our solutions are perfectly tailored to our travelers. As our next Senior Product Manager, you will drive product strategy and partner closely with senior leadership cross-functionally to define, build, and deliver the best travel solutions.<br><br>You will get dedicated engineering resources that you, and only you define and allocate. We expect you to have a hands-on mentality and spend considerable time with your SCRUM teams, have enthusiasm to develop engineered processes and technologies and apply innovative solutions to make organizational improvements. Product Managers can modify *every* system we have in our company to suit their needs.<br><br>By applying to this role, you'll be considered for a role either in User Experience, Marketing, Finance or Supply product vertical. The goal is to match you with the team that best aligns with your interests, competencies, and where you will have the most impact. We’re looking for Senior Product Managers for every part of our business. Our entire Product team sits in Bangkok. This is an Individual Contributor position.<br><br>In this role, you'll get to: <br><br>Analyze the online travel ecosystem, markets, competitive landscape and user requirements. Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly. Work collaboratively with Engineering, Marketing, Legal and UX teams on cutting-edge technologies. Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions.<br><br> What you'll need to succeed:<br><br>Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline). Proven ability to leverage analytics and quantitative methods to inform and influence decision-making Strong data skills Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders Experience developing and launching products Experience leading global product vision, go-to-market strategy and design discussions. Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change Hands-on mentality<br><br>It's great if you have:<br><br>MBA or Master’s degree in Math, Economics, Computer Science or Statistics Data tools - SQL, Python, R, or equivalent<br><br>#seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong #singapore #berlin #shanghai #losangeles #boston #austin #toronto #luxembourg #munich #oslo #copenhagen #stockholm #helsinki #brussels #hamburg #stuttgart #taipei #hamburg #stuttgart #dublin #telaviv #sydney #melbourne #perth #vancouver #montreal #prague #paris #dublin #telaviv #milan #rome #amsterdam #moscow #saintpetersburg #frankfurt #shenzhen #istanbul #dubai #seoul #madrid #barcelona #zurich #geneva #warsaw #budapest #vienna #bratislava #bucharest #sofia #athens #ankara #jakarta #manila #kuala_lumpur #ho_chi_minh_city #hanoi #beirut #riyadh #jeddah #doha #cape_town #johannesburg #mexicocity #guadalajara #santiago #buenosaires #sao_paulo #rio_de_janeiro #bogota #caracas #auckland #wellington #calgary #edmonton #ottawa<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Position Overview<br><br> JOB DESCRIPTION <br><br>Own day-to-day operations and continuous improvement of enterprise Linux platforms and storage services across on-premises data centers and cloud environments (OCI and Microsoft Azure). Ensure platforms are stable, secure, and highly available, and provide expert-level troubleshooting and guidance to cross-functional teams.<br><br>Job Summary<br><br>We are seeking a highly skilled Senior Linux Administrator with strong expertise in on-premises infrastructure, Oracle Cloud Infrastructure (OCI), and Microsoft Azure Cloud. The ideal candidate will be responsible for managing, maintaining, and optimizing enterprise Linux environments across hybrid infrastructures, ensuring high availability, performance, and security. Knowledge of Oracle Database is mandatory and the role will partner closely with database teams to support Oracle Database platforms on Linux.<br><br>Responsibilities<br><br>Key Responsibilities<br><br>Linux System Administration<br><br>Install, configure, and maintain Linux servers (RHEL, Oracle Linux, Cent OS, Alma Linux). Perform system upgrades, patching, and security hardening using enterprise patching solutions (e.g., Red Hat Satellite) and standard change management practices. Monitor system performance, troubleshoot issues, and ensure high availability. Manage user access, permissions, and system security. <br><br>Cloud Infrastructure (OCI & Azure)<br><br>Deploy, configure, and manage Linux workloads on OCI and Azure platforms. Design and maintain scalable, secure cloud infrastructure. Work with OCI services including Compute, VCN, Block Volumes, File Storage, Load Balancer, IAM, and monitoring/logging capabilities. Manage Azure services including Virtual Machines, Virtual Networks, Azure Storage (Managed Disks, Files), Azure Backup (Recovery Services Vault), monitoring, and Microsoft Entra ID (Azure AD). Implement backup, disaster recovery, and high availability solutions in cloud environments using OCI/Azure-native capabilities (e.g., Azure Backup via Recovery Services Vault, Azure Site Recovery (ASR), and OCI backup features) and/or enterprise backup tools as applicable. Apply cloud governance and operational best practices (tagging, least privilege, patching/maintenance windows) including patch orchestration with Azure Update Manager for Azure VMs; optimize performance and cost for Linux workloads.<br><br>On-Premises Infrastructure & Storage<br><br>Manage physical and virtualized environments (VMware) including provisioning, lifecycle management, and performance tuning. Administer enterprise storage platforms and services including SAN/NAS, RAID concepts, LUN provisioning, zoning/masking (as applicable), and NFS/SMB integrations; experience with storage arrays such as Net App (ONTAP), HPE (3PAR), and IBM storage is highly desirable; familiarity with SAN fabrics (Brocade and/or Cisco MDS) is a plus. Configure and troubleshoot Linux storage stack components such as multipathing, LVM, udev rules, and filesystems (ext4, XFS); perform capacity management and growth activities. Ensure seamless integration between on-prem and cloud (hybrid connectivity, routing/DNS, identity, and operational processes) and perform ongoing infrastructure optimization. Implement and validate backup/restore and disaster recovery procedures; hands-on experience with enterprise backup platforms such as Commvault, Veritas Net Backup, and Cohesity; leverage storage snapshots and replication (vendor-native replication, Net App, replication where applicable) and participate in DR drills and recovery testing.<br><br>Automation & Dev Ops<br><br>Develop automation scripts using Bash, Python, or Shell scripting. Use configuration management tools like Ansible. Manage Infrastructure as Code (IaC) tools (Terraform preferred). <br><br>Monitoring & Performance<br><br>Implement and manage monitoring tools. Analyze system logs and proactively resolve issues. Ensure SLA compliance and system uptime. <br><br>Security & Compliance<br><br>Implement security best practices and vulnerability management. Ensure compliance with organizational and regulatory standards. Manage firewall rules, SELinux policies, and access controls. <br><br>Collaboration & Support<br><br>Work closely with Dev Ops, application, and database teams. Provide L2/L3 support and participate in incident management. Prepare technical documentation and SOPs. <br><br>Qualifications<br><br>Required Skills & Qualifications<br><br>Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.8+ years of hands-on Linux system administration experience in enterprise environments (production operations and on-call support). Strong expertise in:Enterprise Linux (RHEL/Oracle Linux; systemd, networking, troubleshooting, performance tuning) Oracle Cloud Infrastructure (OCI) including networking (VCN), compute, IAM, and storage (Block Volumes/File Storage) Microsoft Azure including compute, networking, storage, monitoring, and identity (Microsoft Entra ID) Storage administration: SAN/NAS fundamentals, multipathing, LVM, filesystems (XFS/ext4), and capacity planning; exposure to enterprise storage vendors such as Net App ONTAP, HPE 3PAR, and IBM and SAN switches (Brocade/Cisco MDS). Must-have: Working knowledge of Oracle Database administration on Linux (installation/patching support, Oracle user and filesystem layout, listener basics, performance/log locations); familiarity with RMAN backup concepts and Data Guard fundamentals is preferred. Experience with virtualization platforms (VMware and/or Hyper-V); understanding of virtual networking and storage integrations. Strong scripting skills (Bash) for automation, reporting, and operational tooling. Hands-on experience with automation and IaC tools (Ansible required; Terraform preferred). Experience with patch management and lifecycle tooling such as Red Hat Satellite (content views, activation keys, repositories) and Azure Update Manager for scheduling and compliance reporting. Strong networking fundamentals (TCP/IP, routing, DNS, DHCP, NTP) and ability to collaborate on firewall/security configurations. Experience with backup/restore and disaster recovery practices (RPO/RTO concepts, recovery testing, documentation) using tools such as Azure Backup (Recovery Services Vault), Azure Site Recovery (ASR), and/or enterprise platforms including Commvault, Veeam, Veritas Net Backup, and Cohesity.<br>Working Conditions<br><br>Participate in on-call rotation and provide support during planned maintenance windows and critical incidents. Work in a hybrid environment supporting both data center and cloud operations; occasional after-hours work may be required for changes and upgrades.<br><br>Preferred Certifications<br><br>Red Hat Certified Engineer (RHCE) Oracle Cloud Infrastructure Certification Microsoft Azure Administrator (AZ-104) or equivalent Kubernetes / Container certifications (optional but preferred) <br><br>Key Competencies<br><br>Strong troubleshooting and analytical skills Ability to work in hybrid (cloud + on-prem) environments Excellent communication and documentation skills Ability to work under pressure and handle critical incidents <br><br>Nice to Have<br><br>Experience with Kubernetes / Open Shift Knowledge of additional database environments is a plus. Exposure to monitoring tools
Whether facing acts of fraud, government investigations or regulatory inquiries, major litigation or transactional disputes, clients turn to EY Forensics for assistance.<br><br>We bring together forensic accountants, technologists, certified fraud examiners, anti-corruption and anti-money laundering specialists to help clients cut through complexity, respond with confidence and build stronger defences against financial crime.<br><br>Forensic technology is a key pillar of our forensic services, enabling us to apply advanced analytics, e Discovery, data privacy and cyber capabilities to help corporations identify, investigate and respond to complex risks, strengthen regulatory compliance and make more informed decisions.<br><br>Working alongside legal counsel, internal audit and compliance teams, we deliver practical, evidence-led solutions that address urgent issues, strengthen controls and reduce risk. Our cross-industry and global experience enables clients to assess fraud exposure, enhance compliance programmes and take a more proactive approach to integrity, transparency and resilience.<br><br>The opportunity<br><br>A position has arisen for a Senior Manager to join the business based in Doha, Qatar supporting MENA wide projects and clients in a growing forensic space and market. There will be a requirement for some regional travel.<br><br>Your Key Responsibilities<br><br>As a Senior Manager you will be a core part of the senior management team within Forensic & Integrity Services MENA. You will focus on the growth of the business within the MENA region. This will involve client and opportunity identification and ensuring these translate into revenue.<br><br>To this end you will develop and lead relationships with large corporate accounts and establish a strong revenue, build a market leading team capable of providing board level strategic advice and winning large transformation engagements that leverage the wider competencies of EY and raise EY's profile in the forensics area.<br><br>Specifically, you will need to:<br><br>Forensic investigations: Lead corruption, fraud, and forensic investigations including multi-jurisdictional matters, applying analytics to accelerate evidence identification and quantify losses. Financial analysis: Analyse company accounts, financial data, and large transactional datasets to identify indicators of high risk, red flags, fraud, misstatement, or irregularities. Anti-corruption & fraud prevention: Advise on data-driven monitoring analytics in the context of fraud and anti-bribery frameworks, performance and efficiency improvement and cost saving opportunities. Policies, processes & controls: Review internal controls, data integrity, and governance; recommend enhancements to strengthen fraud and compliance posture. Forensic reporting: Prepare defensible forensic reports with robust evidence review, chain of custody, and analytics documentation suitable for litigation and regulatory use. Cyber incident response (working knowledge): Understand the cyber incident response lifecycle and its intersection with fraud and financial crime. Support clients on cyber-enabled fraud incidents using analytics on logs, transactions, and endpoint data to reconstruct events and quantify impact. Collaborate with cyber/DFIR specialists to translate technical findings into business and regulatory impact. Business development: Deliver on sales targets, build a forensic data analytics pipeline, and contribute to propositions and thought leadership.<br><br>To qualify for the role, you must have<br><br>Strong academic record including a degree Related professional qualification and / or certification(s) The ability to travel nationally and internationally for extended periods and at short notice The ability to simultaneously handle diverse and pressing assignments and sensitive and adversarial situations A forensic mindset with critical thinking capabilities and high attention to detail<br><br>Ideally, you’ll also have<br><br>Arabic speaking, reading and writing capabilities Strong proficiency in SQL, Python, and/or R for large-scale data analysis and investigation. Hands-on experience with analytics and visualisation tools such as Alteryx, Power BI or Tableau Working knowledge of ERP data structures (SAP, Oracle) and financial/transactional datasets. Exposure to machine learning, text analytics, and network/link analysis for fraud detection. Working understanding of cyber incident response, log analysis, and DFIR fundamentals. Proven ability to lead engagements, manage multidisciplinary teams, and mentor junior staff. Strong client relationship, stakeholder management, and executive communication skills. Track record of business development, proposal writing, and delivering sales targets. Ability to translate complex technical findings into clear, actionable insights for non-technical audiences, including regulators, boards, and legal counsel.<br><br>What We Look For<br><br>We are interested in individuals with entrepreneurial skills who have the confidence to develop and promote our services internally and externally and grow a business within a larger organisation. You will be business savvy with a passion for innovation as well as the motivation to create your own EY journey.<br><br>What we offer<br><br>We offer a competitive compensation package where you’ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:<br><br>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.<br><br>If you can demonstrate that you meet the criteria above, please contact us as soon as possible. <br><br>The Exceptional EY Experience. It’s Yours To Build.<br><br>EY | Building a better working world <br><br>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.<br><br>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.<br><br>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMsUpskilling and advisory services to spread the impact of AI<br><br>As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.<br><br>At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.<br><br>You will:<br><br>Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.<br><br>Ideally you’d have:<br><br>Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.<br><br>Nice to haves:<br><br>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems Proficient in Arabic<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States.<br><br>We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale Gen AI Platform, a full stack product to build, test and deploy frontier AI agents.<br><br>Developing custom AI applications Building custom LLMsProviding high-quality training data for research and government institutions building LLMsDeveloping partnerships to foster regional talent growth and AI adoption<br><br>We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.<br><br>You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.<br><br>Responsibilities: <br><br>Lead design workshops with the client to define custom AI solutions Scope out new AI application use cases across various government entities Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively Stay up to date with latest research in applied AI and training custom LLMsScope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution Give regular progress updates to the client and Global Public Sector leadership<br><br>Minimum Qualifications: <br><br>4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products Strong technical background (STEM degree) and/or experience building technical software products Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro) Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams<br><br>Nice to haves:<br><br>Coding experience (Python) Proficiency in Arabic, both written and spoken<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMsUpskilling and advisory services to spread the impact of AI<br><br>As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.<br><br>At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.<br><br>You will:<br><br>Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.<br><br>Ideally you’d have:<br><br>Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability. Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments. A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization. A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.<br><br>Nice to haves:<br><br>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems Proficient in Arabic<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States.<br><br>We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale Gen AI Platform, a full stack product to build, test and deploy frontier AI agents.<br><br>Developing custom AI applications Building custom LLMsProviding high-quality training data for research and government institutions building LLMsDeveloping partnerships to foster regional talent growth and AI adoption<br><br>We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.<br><br>You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.<br><br>Responsibilities: <br><br>Lead design workshops with the client to define custom AI solutions Scope out new AI application use cases across various government entities Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively Stay up to date with latest research in applied AI and training custom LLMsScope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution Give regular progress updates to the client and Global Public Sector leadership<br><br>Minimum Qualifications: <br><br>4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products Strong technical background (STEM degree) and/or experience building technical software products Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro) Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams<br><br>Nice to haves:<br><br>Coding experience (Python) Proficiency in Arabic, both written and spoken<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI<br><br>Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.<br><br>Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.<br><br>The Mission<br><br>Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.<br><br>What You Will Do<br><br>Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.<br><br>Ideally, You Have<br><br>Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.<br><br>Nice to Haves<br><br>Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Location: Qatar or Dubai, UAE Working Arrangement: Full-time, on-site at client locations Company: Command Post About Command Post Command Post is a cybersecurity and AI technology company delivering advanced security operations, threat intelligence, application security, AI assurance, governance, risk, compliance, and privacy solutions. We are expanding our regional delivery capability and are seeking a hands-on SOC & Security Platform Analyst to support customer security operations and security technology environments across Qatar and Dubai. This role is suitable for candidates from either of the following backgrounds:An experienced SOC analyst with strong operational, threat-hunting, and incident investigation capabilities. A technical security platform engineer with experience deploying, managing, and improving SIEM, SOAR, endpoint security, and security monitoring platforms. Role Overview The successful candidate will work on-site within customer environments, supporting day-to-day security operations and the implementation, administration, and optimisation of security monitoring platforms. The role requires a practical understanding of how security alerts, endpoint telemetry, logs, threat intelligence, detection rules, and automated response workflows come together to support an effective Security Operations Centre. Candidates do not need to be equally strong across every area. We are interested in experienced SOC practitioners, technical platform engineers, or candidates who combine elements of both disciplines. Key Responsibilities Security Operations and Incident Investigation Monitor, triage, investigate, and respond to security alerts and incidents. Analyse events from endpoints, networks, cloud services, identity platforms, applications, and security controls. Conduct structured investigations to determine incident scope, impact, root cause, and required containment actions. Perform proactive threat hunting using indicators, behavioural patterns, attack techniques, and threat intelligence. Document investigation findings, evidence, timelines, decisions, and recommended remediation actions. Support the development and maintenance of incident response procedures, investigation playbooks, and escalation processes. Identify recurring security issues and recommend improvements to controls, monitoring, and operational processes. Support customer reporting, operational reviews, and incident briefings. Security Platform Engineering Configure, administer, and optimise SIEM and security analytics platforms. Support log source onboarding, parsing, normalisation, enrichment, correlation, and data quality validation. Develop and maintain detection rules, use cases, alert logic, dashboards, reports, and monitoring workflows. Tune security use cases to reduce false positives while maintaining appropriate detection coverage. Integrate endpoint, network, cloud, identity, vulnerability, threat intelligence, and application security data sources. Support SOAR playbooks, workflow automation, case management, and response orchestration. Monitor platform health, ingestion performance, storage, integrations, connectors, and service availability. Assist with upgrades, troubleshooting, platform testing, documentation, and operational handover. Work with customer infrastructure, security, network, cloud, and application teams to resolve technical issues. Relevant Technology Experience Experience with one or more of the following platforms is highly desirable:Palo Alto Cortex XSIAM or XSIEMMicrosoft Sentinel Elastic Stack or ELKOpen Search Log Rhythm Arc Sight Other enterprise SIEM, SOAR, security analytics, or log-management platforms Experience in the following areas will also be valuable:Endpoint Detection and Response and Extended Detection and Response technologies Endpoint protection platforms Device and log-source onboarding Detection engineering and use-case management Security orchestration and automated response Dashboard and security reporting development Threat intelligence integration Cloud security monitoring Identity and access monitoring Network security monitoring Vulnerability management integrations Required Experience and Skills Practical experience working within a SOC, security operations team, managed security service, or security engineering function. Strong understanding of security monitoring, alert triage, incident investigation, and escalation processes. Working knowledge of common attacker techniques, indicators of compromise, and the MITRE ATT&CK framework. Ability to analyse security logs and telemetry from multiple sources. Experience with SIEM queries, dashboards, detection rules, correlation logic, or platform administration. Understanding of endpoint protection, EDR, XDR, firewalls, identity systems, cloud platforms, and common enterprise infrastructure. Ability to investigate technical issues methodically and communicate findings clearly. Strong written documentation and customer communication skills. Ability to work independently within a customer environment while collaborating with wider technical teams. Willingness and ability to work full-time on-site in Qatar or Dubai. Advantageous Experience The following experience would be considered an advantage:Digital forensics or forensic investigation. Malware analysis. Incident response and containment. Threat-hunting programme development. Detection engineering. Offensive security, penetration testing, red teaming, or vulnerability assessment. Security automation using Python, Power Shell, APIs, or scripting. Cloud security experience across Microsoft Azure, AWS, or Google Cloud. Experience supporting regulated organisations or critical infrastructure. Experience working in consulting, professional services, or customer-facing technical roles. Qualifications Relevant technical qualifications, certifications, or equivalent practical experience are welcomed. Useful certifications may include:Comp TIA Security+, CySA+, or equivalent Microsoft Security Operations Analyst Elastic, Palo Alto, Log Rhythm, Arc Sight, or SIEM-specific certifications GIAC incident response, forensic, or security operations certifications CEH, OSCP, or other offensive security certifications Cloud security certifications Certifications are beneficial but will not replace strong practical experience. Candidate Profile The ideal candidate is:Technically curious and comfortable investigating complex security problems. Operationally focused and able to work effectively in live customer environments. Capable of balancing incident response priorities with longer-term platform improvement. Confident communicating with analysts, engineers, customer stakeholders, and management. Able to take ownership of assigned activities and deliver work to a professional standard. Interested in working with modern security analytics, automation, AI-assisted security operations, and integrated cyber defence platforms. Why Join Command Post Work directly with enterprise customers across Qatar and the UAE. Gain exposure to a broad range of security technologies and operating environments. Contribute to the development and delivery of AI-enabled cybersecurity platforms. Work across security operations, threat hunting, incident investigation, detection engineering, automation, and security platform transformation. Join a growing regional cybersecurity company with opportunities to develop into senior technical, consulting, platform engineering, or security operations leadership roles. Application Please apply with an up-to-date CV outlining your experience in security operations, incident investigation, threat hunting, SIEM or SOAR engineering, endpoint security, and security platform administration. Candidates should also confirm whether they are applying for the Qatar-based or Dubai-based position. The role title could also be advertised as SOC & SIEM Platform Analyst or Security Operations & Platform Engineer depending on whether you want to attract more operational analysts or engineering-focused candidates.
Location: Qatar or Dubai, UAE Working Arrangement: Full-time, on-site at client locations Company: Command Post About Command Post Command Post is a cybersecurity and AI technology company delivering advanced security operations, threat intelligence, application security, AI assurance, governance, risk, compliance, and privacy solutions. We are expanding our regional delivery capability and are seeking a hands-on SOC & Security Platform Analyst to support customer security operations and security technology environments across Qatar and Dubai. This role is suitable for candidates from either of the following backgrounds:An experienced SOC analyst with strong operational, threat-hunting, and incident investigation capabilities. A technical security platform engineer with experience deploying, managing, and improving SIEM, SOAR, endpoint security, and security monitoring platforms. Role Overview The successful candidate will work on-site within customer environments, supporting day-to-day security operations and the implementation, administration, and optimisation of security monitoring platforms. The role requires a practical understanding of how security alerts, endpoint telemetry, logs, threat intelligence, detection rules, and automated response workflows come together to support an effective Security Operations Centre. Candidates do not need to be equally strong across every area. We are interested in experienced SOC practitioners, technical platform engineers, or candidates who combine elements of both disciplines. Key Responsibilities Security Operations and Incident Investigation Monitor, triage, investigate, and respond to security alerts and incidents. Analyse events from endpoints, networks, cloud services, identity platforms, applications, and security controls. Conduct structured investigations to determine incident scope, impact, root cause, and required containment actions. Perform proactive threat hunting using indicators, behavioural patterns, attack techniques, and threat intelligence. Document investigation findings, evidence, timelines, decisions, and recommended remediation actions. Support the development and maintenance of incident response procedures, investigation playbooks, and escalation processes. Identify recurring security issues and recommend improvements to controls, monitoring, and operational processes. Support customer reporting, operational reviews, and incident briefings. Security Platform Engineering Configure, administer, and optimise SIEM and security analytics platforms. Support log source onboarding, parsing, normalisation, enrichment, correlation, and data quality validation. Develop and maintain detection rules, use cases, alert logic, dashboards, reports, and monitoring workflows. Tune security use cases to reduce false positives while maintaining appropriate detection coverage. Integrate endpoint, network, cloud, identity, vulnerability, threat intelligence, and application security data sources. Support SOAR playbooks, workflow automation, case management, and response orchestration. Monitor platform health, ingestion performance, storage, integrations, connectors, and service availability. Assist with upgrades, troubleshooting, platform testing, documentation, and operational handover. Work with customer infrastructure, security, network, cloud, and application teams to resolve technical issues. Relevant Technology Experience Experience with one or more of the following platforms is highly desirable:Palo Alto Cortex XSIAM or XSIEMMicrosoft Sentinel Elastic Stack or ELKOpen Search Log Rhythm Arc Sight Other enterprise SIEM, SOAR, security analytics, or log-management platforms Experience in the following areas will also be valuable:Endpoint Detection and Response and Extended Detection and Response technologies Endpoint protection platforms Device and log-source onboarding Detection engineering and use-case management Security orchestration and automated response Dashboard and security reporting development Threat intelligence integration Cloud security monitoring Identity and access monitoring Network security monitoring Vulnerability management integrations Required Experience and Skills Practical experience working within a SOC, security operations team, managed security service, or security engineering function. Strong understanding of security monitoring, alert triage, incident investigation, and escalation processes. Working knowledge of common attacker techniques, indicators of compromise, and the MITRE ATT&CK framework. Ability to analyse security logs and telemetry from multiple sources. Experience with SIEM queries, dashboards, detection rules, correlation logic, or platform administration. Understanding of endpoint protection, EDR, XDR, firewalls, identity systems, cloud platforms, and common enterprise infrastructure. Ability to investigate technical issues methodically and communicate findings clearly. Strong written documentation and customer communication skills. Ability to work independently within a customer environment while collaborating with wider technical teams. Willingness and ability to work full-time on-site in Qatar or Dubai. Advantageous Experience The following experience would be considered an advantage:Digital forensics or forensic investigation. Malware analysis. Incident response and containment. Threat-hunting programme development. Detection engineering. Offensive security, penetration testing, red teaming, or vulnerability assessment. Security automation using Python, Power Shell, APIs, or scripting. Cloud security experience across Microsoft Azure, AWS, or Google Cloud. Experience supporting regulated organisations or critical infrastructure. Experience working in consulting, professional services, or customer-facing technical roles. Qualifications Relevant technical qualifications, certifications, or equivalent practical experience are welcomed. Useful certifications may include:Comp TIA Security+, CySA+, or equivalent Microsoft Security Operations Analyst Elastic, Palo Alto, Log Rhythm, Arc Sight, or SIEM-specific certifications GIAC incident response, forensic, or security operations certifications CEH, OSCP, or other offensive security certifications Cloud security certifications Certifications are beneficial but will not replace strong practical experience. Candidate Profile The ideal candidate is:Technically curious and comfortable investigating complex security problems. Operationally focused and able to work effectively in live customer environments. Capable of balancing incident response priorities with longer-term platform improvement. Confident communicating with analysts, engineers, customer stakeholders, and management. Able to take ownership of assigned activities and deliver work to a professional standard. Interested in working with modern security analytics, automation, AI-assisted security operations, and integrated cyber defence platforms. Why Join Command Post Work directly with enterprise customers across Qatar and the UAE. Gain exposure to a broad range of security technologies and operating environments. Contribute to the development and delivery of AI-enabled cybersecurity platforms. Work across security operations, threat hunting, incident investigation, detection engineering, automation, and security platform transformation. Join a growing regional cybersecurity company with opportunities to develop into senior technical, consulting, platform engineering, or security operations leadership roles. Application Please apply with an up-to-date CV outlining your experience in security operations, incident investigation, threat hunting, SIEM or SOAR engineering, endpoint security, and security platform administration. Candidates should also confirm whether they are applying for the Qatar-based or Dubai-based position. The role title could also be advertised as SOC & SIEM Platform Analyst or Security Operations & Platform Engineer depending on whether you want to attract more operational analysts or engineering-focused candidates.
About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to Know Our Team<br><br>The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.<br><br>The Opportunity<br><br>Please note -The role will be based in Bangkok. <br><br>We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.<br><br>As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.<br><br>In This Role, You’ll Get to<br><br>Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference<br><br>What You’ll Need To Succeed<br><br>4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment.<br><br>It’s Great if You Have<br><br>PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields Experience in NLP, image processing and/or recommendation systems Hands on experience in data engineering, working with big data framework like Spark/Hadoop Experience in data science for e-commerce and/or OTA<br><br>We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate
About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate
About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><b><b><b>Job Description Summary</b></b></b></span>GE Aerospace is hiring an early-career Software Engineer to help our engineers unlock the power of data, cloud, and AI. You will consult on architecture, build proof of concepts, and ship production solutions for strategic business projects — including data science and machine learning systems. Applying the Innovator Method, you'll turn customer insights into solutions that deliver measurable business value while deepening your expertise in cloud platforms, data engineering, and AI technologies. This role is an ideal next step for interns completing our internship program and for recent graduates ready to shape the future of flight.<span><b>Job Description</b></span><p><b>Company Overview:</b></p><br><p>Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</p><br><p><b>Site Overview:</b></p><br><p>For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot & harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community <u>t</u>hrough grants and philanthropic programming.</p><br><p><b>Role Overview:</b></p><br><p>At GE Aerospace, our people invent the future of flight — lifting people up and bringing them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Respect for people is core to our culture and to FLIGHT DECK, our proprietary lean operating model, and we cultivate communities where talented people from all backgrounds are empowered to reach their fullest potential.</p><br><p>At GE Aerospace Technology & Operations, our customers challenge us to tackle some of the world's most complex engineering problems using innovative approaches and new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies — like cloud and AI — to unlock new possibilities and shape the future of flight.</p><br><p>As a Software Engineer on this team, you'll move beyond proof of concept: you will own solutions end-to-end, from architecture and design through production deployment and support, delivering real business impact for engineering teams across the company.</p><br><p>We are keen on building scalable, long-lasting solutions — software designed to outlive its first release. That means investing in good design over quick fixes: clean abstractions, simple interfaces, and code that clearly communicates its intent. Working code isn't the finish line; we continually refine our systems so they remain easy to understand, extend, and maintain as they grow, because small design investments today compound into velocity tomorrow.</p><br>What You Will Do<ul><li>Design, build, and ship production-grade solutions — LLM-powered applications, machine learning models, and APIs — that enable engineers to evaluate and adopt data and AI capabilities</li><li>Consult on architecture and deliver solutions for business-strategic projects, including data science and machine learning systems</li><li>Own features end-to-end — design, implementation, testing, deployment, and production support — to meet business needs and drive measurable impact</li><li>Build and present product architectures, write high-quality technical code, participate in design and code reviews, and demo applications to stakeholders and senior leaders</li><li>Apply the Innovator Method and lead design thinking workshops to turn customer insights into solutions that deliver real business value</li><li>Apply cloud platforms, databases, data engineering, web technologies, and numerical methods in your work — and stay current with advances in AI, LLMs, and agentic architectures</li><li>Collaborate closely with teammates, share knowledge and use your strengths to support the team, and build cross-functional relationships across the company</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science or another STEM discipline</li><li>0–2 years of professional experience in software engineering, data, or AI (internship and co-op experience counts)</li><li>Proficiency in programming and debugging with at least one of the following languages: Python, C++, Go, or Rust</li><li>Experience working with databases and SQL</li><li>Hands-on experience in at least one of the following: Machine Learning, Large Language Models (LLMs), or Computer Vision</li><li>Experience building solutions on a public cloud platform such as AWS or Azure</li></ul>Desired Qualifications<ul><li>Strong academic performance</li><li>Experience designing AI solutions and architecting distributed data systems</li><li>Familiarity with LLM application technologies and patterns, such as retrieval-augmented generation (RAG), agentic workflows, prompt engineering, vector databases and embeddings, and LLM evaluation</li><li>Experience building and serving REST APIs (e.g., FastAPI, Flask) and packaging AI capabilities for reuse across teams (e.g., Model Context Protocol / MCP servers)</li><li>Familiarity with MLOps practices, such as experiment tracking (e.g., MLflow), model registries, automated training pipelines, and model monitoring</li><li>Customer-centric mindset with the ability to facilitate design thinking workshops</li><li>Prior internship, co-op, or project experience in software, data, or AI (GE Aerospace internship experience is a plus)</li><li>Familiarity with modern engineering practices: version control (Git), CI/CD, containers, and agile development</li><li>AWS and/or Azure certification (preferred but not required)</li></ul><p>Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.</p><br><p>At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.</p><br><span><b><b><b>Additional Information</b></b></b></span><p><b>Relocation Assistance Provided: </b>No</p><br><br><br><br><br><br><br><br>#LI-Remote - This is a remote position </div>