Python Developer Jobs in Qatar

<p><span >&nbsp;As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture.</span></p><p><b>What You'll Do</b></p><ul><li>Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and modern data engineering technologies.</li><li>Build robust ELT/ETL solutions, integrating data from multiple enterprise sources while ensuring quality, security and governance.</li><li>Collaborate with business stakeholders, architects and cross-functional delivery teams to translate business requirements into technical solutions.</li><li>Optimise Snowflake performance, cost management and data modelling to deliver efficient, high-performing data platforms.</li><li>Support client engagements through technical leadership, solution design, mentoring team members and contributing to successful project delivery.</li></ul><p>What We're Looking For</p><ul><li>Proven experience delivering enterprise-scale data engineering solutions with strong hands-on expertise in Snowflake.</li><li>Experience with SQL, Python and modern cloud platforms such as AWS, Azure or Google Cloud.</li><li>Strong understanding of data warehousing, dimensional modelling, data integration and data governance principles.</li><li>Excellent stakeholder management, communication and consulting skills with the ability to influence technical and business audiences.</li><li>Experience working within Agile delivery environments and leading technical workstreams</li><li>Proven track record building end-to-end ELT/ETL ingestion and transformation pipelines</li><li>Strong understanding of data warehousing, dimensional modeling, Iceberg open-table storage formats, data integration, and data governance principles.</li><li>Experience configuring and deploying advanced Snowflake features and frameworks, including Snowpark, Dynamic Tables, Streams &amp; Tasks, Snowpipe / Streaming ingestion, dbt Projects, and open table formats (e.g., Apache Iceberg)</li><li>Experience with dbt, Apache Airflow, Kafka or other modern data engineering tools.</li></ul><p>Bonus Points For</p><ul><li>Relevant Snowflake certifications or other cloud platform certifications.</li><li>Exposure to financial services, banking, capital markets or insurance.</li><li>Experience with DevOps, CI/CD pipelines and Infrastructure as Code.</li><li>Previous consulting experience delivering complex client engagements.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

Location: Qatar (Home office: Austin, TX)<br><br>Travel: Mission-dependent, up to ~75% (OCONUS rotations)<br><br>Clearance Requirement: Active Secret required<br><br>About NODA<br><br>NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform — URZA — coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.<br><br>The Role<br><br>We are seeking a senior full-stack engineer to lead URZA deployment and customer-facing technical delivery across active customer programs. This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6) depending on demonstrated depth — see leveling below.<br><br>You will own URZA deployments end-to-end at customer sites — primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing — runbooks, deployment guides, Con Ops documents, after-action reports.<br><br>What you'll do<br><br>Lead URZA deployments end-to-end at customer sites in DoW and military operating environments. Configure URZA for each customer's mission and Con Ops. Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds). Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination. Build reusable engagement scaffolding (runbooks, Con Ops templates, integration playbooks); mentor mid-level Solution Engineers. <br><br>Required Qualifications<br><br>5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work. Strong proficiency in Python, C++, or Rust; advanced Linux fluency. Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers. Demonstrated deployment experience in DoW, military, or comparable operational environments. U. S. citizenship; able to obtain a security clearance. <br><br>Preferred Qualifications<br><br>Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV). Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS). Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence). Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure. Active security clearance. <br><br>Leveling — Senior SE (L5) vs. Solution Architect (L6)<br><br>Senior Solution Engineer (L5): Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.<br><br>Solution Architect (L6): Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and Con Ops templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.<br><br>Skills & Attributes<br><br>Systems thinker across compute, network, vehicle behavior, and Con Ops. Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock. Documentation-disciplined. Customer-credible; holds technical authority without overstating or underselling. Self-directed; thrives in ambiguity. <br><br>What we offer<br><br>Hybrid work environment Competitive base + equity Flexible time off and generous PTOFederal holidays401(k) Comprehensive health, dental, and vision benefits Free One Medical membership<br><br>Growth Path at NODA<br><br>Senior Solution Engineer → Solution Architect → Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.<br><br>We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.

Economic Expert Role Overview The Economic Expert provides economic analysis, research, and policy advice to support strategic decision-making. The role involves evaluating economic trends, assessing the impact of policies and regulations, conducting quantitative and qualitative analyses, and preparing reports and recommendations for senior management and stakeholders. The Economic Expert contributes to the development of evidence-based strategies that promote economic growth, sustainability, and organizational objectives. Key Responsibilities Conduct economic research, market analysis, and forecasting to support strategic planning and policy development. Assess the economic impact of policies, regulations, legislation, projects, and investment initiatives. Monitor local, regional, and global economic trends and identify emerging risks, opportunities, and market developments. Develop economic models, forecasts, scenario analyses, and financial impact assessments to support evidence-based decision-making. Perform cost-benefit analyses, economic feasibility studies, and impact assessments for strategic initiatives and major projects. Analyze macroeconomic and sector-specific indicators, including GDP, inflation, employment, trade, investment, and fiscal performance. Collect, validate, analyze, and interpret economic and statistical data from various internal and external sources. Prepare high-quality economic reports, policy papers, briefing notes, presentations, executive summaries, and strategic recommendations. Provide expert economic advice and recommendations to senior management and support executive decision-making. Support the development, implementation, monitoring, and evaluation of economic policies, strategies, and reform initiatives. Collaborate with internal departments to integrate economic analysis into strategic planning, budgeting, performance management, and business planning processes. Conduct benchmark studies and comparative analyses of regional and international economic policies, regulations, and best practices. Evaluate industry trends, market conditions, and investment environments to identify economic opportunities and potential risks. Support the development of economic performance indicators, monitoring frameworks, and analytical dashboards. Review and assess the economic implications of legislation, regulations, and fiscal policies. Develop economic forecasts and scenario planning models to support long-term organizational planning. Present economic findings, forecasts, and recommendations to executive management, committees, and external stakeholders. Engage with government entities, regulatory authorities, research institutions, international organizations, and other stakeholders on economic matters. Ensure the accuracy, integrity, and reliability of economic data, methodologies, and analytical outputs. Maintain awareness of developments in economic theory, analytical methodologies, and international best practices. Participate in cross-functional projects by providing economic expertise and analytical support. Mentor junior team members and contribute to knowledge sharing and continuous improvement initiatives. Perform any other duties assigned by management within the scope of the role. Qualifications Education Bachelor's degree in Economics, Applied Economics, Finance, Public Policy, or a related field. Master's degree in Economics or a related discipline is preferred. Experience5–8 years of professional experience in economic analysis, policy development, economic research, or a related field. Experience within government entities, regulatory authorities, consulting firms, or international organisations is preferred. Knowledge & Skills Strong knowledge of microeconomics, macroeconomics, econometrics, and economic policy analysis. Proficiency in statistical and analytical tools such as Excel, Stata, R, SPSS, Python, or similar software. Excellent analytical, quantitative, and critical thinking skills. Strong report writing, presentation, and communication skills. Ability to interpret complex economic data and communicate findings effectively to both technical and non-technical audiences. Strong stakeholder management, collaboration, and relationship-building skills. Excellent planning, organisation, and project coordination abilities. High attention to detail and commitment to quality. Fluency in English; Arabic is considered an advantage.

Economic Expert Role Overview The Economic Expert provides economic analysis, research, and policy advice to support strategic decision-making. The role involves evaluating economic trends, assessing the impact of policies and regulations, conducting quantitative and qualitative analyses, and preparing reports and recommendations for senior management and stakeholders. The Economic Expert contributes to the development of evidence-based strategies that promote economic growth, sustainability, and organizational objectives. Key Responsibilities Conduct economic research, market analysis, and forecasting to support strategic planning and policy development. Assess the economic impact of policies, regulations, legislation, projects, and investment initiatives. Monitor local, regional, and global economic trends and identify emerging risks, opportunities, and market developments. Develop economic models, forecasts, scenario analyses, and financial impact assessments to support evidence-based decision-making. Perform cost-benefit analyses, economic feasibility studies, and impact assessments for strategic initiatives and major projects. Analyze macroeconomic and sector-specific indicators, including GDP, inflation, employment, trade, investment, and fiscal performance. Collect, validate, analyze, and interpret economic and statistical data from various internal and external sources. Prepare high-quality economic reports, policy papers, briefing notes, presentations, executive summaries, and strategic recommendations. Provide expert economic advice and recommendations to senior management and support executive decision-making. Support the development, implementation, monitoring, and evaluation of economic policies, strategies, and reform initiatives. Collaborate with internal departments to integrate economic analysis into strategic planning, budgeting, performance management, and business planning processes. Conduct benchmark studies and comparative analyses of regional and international economic policies, regulations, and best practices. Evaluate industry trends, market conditions, and investment environments to identify economic opportunities and potential risks. Support the development of economic performance indicators, monitoring frameworks, and analytical dashboards. Review and assess the economic implications of legislation, regulations, and fiscal policies. Develop economic forecasts and scenario planning models to support long-term organizational planning. Present economic findings, forecasts, and recommendations to executive management, committees, and external stakeholders. Engage with government entities, regulatory authorities, research institutions, international organizations, and other stakeholders on economic matters. Ensure the accuracy, integrity, and reliability of economic data, methodologies, and analytical outputs. Maintain awareness of developments in economic theory, analytical methodologies, and international best practices. Participate in cross-functional projects by providing economic expertise and analytical support. Mentor junior team members and contribute to knowledge sharing and continuous improvement initiatives. Perform any other duties assigned by management within the scope of the role. Qualifications Education Bachelor's degree in Economics, Applied Economics, Finance, Public Policy, or a related field. Master's degree in Economics or a related discipline is preferred. Experience5–8 years of professional experience in economic analysis, policy development, economic research, or a related field. Experience within government entities, regulatory authorities, consulting firms, or international organisations is preferred. Knowledge & Skills Strong knowledge of microeconomics, macroeconomics, econometrics, and economic policy analysis. Proficiency in statistical and analytical tools such as Excel, Stata, R, SPSS, Python, or similar software. Excellent analytical, quantitative, and critical thinking skills. Strong report writing, presentation, and communication skills. Ability to interpret complex economic data and communicate findings effectively to both technical and non-technical audiences. Strong stakeholder management, collaboration, and relationship-building skills. Excellent planning, organisation, and project coordination abilities. High attention to detail and commitment to quality. Fluency in English; Arabic is considered an advantage.

Akura Medical, a Shifamed portfolio company, is advancing a differentiated platform for the treatment of venous thromboembolism (VTE), which affects up to 900,000 Americans each year. The company recently received US IDE approval for its QUADRA-PE study evaluating the Katana™ Thrombectomy System in acute pulmonary embolism patients. In parallel, Akura Medical is developing Nav IQ™, a software platform that transforms CT angiograms into 3D pulmonary vascular models to enhance visualization, procedural planning, and clot assessment towards better safety, efficacy, and ease of use. Akura has recently completed a $53 million first close of its Series C financing, led by the Qatar Investment Authority, supporting the launch of a joint venture and a new R&D and manufacturing center in Doha, Qatar.<br><br>About Shifamed<br><br>Founded in 2009 by serial entrepreneur Amr Salahieh, Shifamed LLC is a privately held medical device innovation hub focused on the development of novel medical products to address clinical needs in the rapidly evolving fields of cardiology and ophthalmology.<br><br>Description:<br><br>Akura Medical, a Shifamed portfolio company, is seeking a highly skilled and motivated Sr. or Staff Software Engineer to contribute to the design, development, and integration of advanced medical imaging systems. In this role, you will serve as a senior technical contributor, applying your expertise to solve complex engineering problems while collaborating across multidisciplinary teams. You will play a critical role in developing innovative imaging technologies that meet regulatory standards and advance patient care. This is a full-time, on-site position at our new, R&D facility in Doha, Qatar.<br><br>Responsibilities, Skills & Hands-On Experience:<br><br>Contribute to the architecture, design, and integration of medical image processing systems, ensuring scalability, reliability, and compliance with regulatory requirements (e.g., FDA, ISO 13485). Develop and implement imaging algorithms, visualization tools, and system components. Collaborate closely with R&D, clinical, regulatory, and manufacturing teams to align technical deliverables with program objectives. Perform feasibility studies, risk assessments, and trade-off analyses to guide design decisions. Mentor junior engineers, sharing best practices in design, coding, and testing. Partner with external vendors and collaborators to support imaging-related initiatives. Develop and execute testing protocols, verification, and validation processes. Contribute to technical documentation, including regulatory submissions. Stay current with industry trends and emerging technologies in medical imaging, proposing improvements and new approaches.<br><br><br>Education & Work Experience:<br><br>Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or related field (M. S. preferred).8+ years of experience in medical imaging systems design and development. Strong knowledge of imaging modalities (e.g., X-ray, MRI, ultrasound) and image processing algorithms. Proficiency in software development (e.g., MATLAB, Python, C++), visualization, and hardware integration. Experience with UI frameworks such as VTK and Qt/QML. Experience with cloud-based imaging applications and integration of AI/ML methods for computer vision/medical imaging. Solid understanding of regulatory and quality standards, including cybersecurity (e.g., ISO 13485, IEC 60601, FDA requirements). Track record of technical contributions, including patents, publications, or conference presentations in medical imaging. Strong problem-solving, communication, and collaboration skills. Ability to succeed in a fast-paced, entrepreneurial environment.<br><br><br>Our salary ranges are calculated by role, level, and location. Please note that your position within that range will be determined by your job-related knowledge, location, skills, experience, relevant education, and training/certifications.<br><br>NOTICE TO CANDIDATES: Please be aware that Shifamed and its portfolio companies do not conduct interviews or extend offers through mobile web chat applications. Please report any such occurrences to hr@shifamed.com.

Akura Medical, a Shifamed portfolio company, is advancing a differentiated platform for the treatment of venous thromboembolism (VTE), which affects up to 900,000 Americans each year. The company recently received US IDE approval for its QUADRA-PE study evaluating the Katana™ Thrombectomy System in acute pulmonary embolism patients. In parallel, Akura Medical is developing Nav IQ™, a software platform that transforms CT angiograms into 3D pulmonary vascular models to enhance visualization, procedural planning, and clot assessment towards better safety, efficacy, and ease of use. Akura has recently completed a $53 million first close of its Series C financing, led by the Qatar Investment Authority, supporting the launch of a joint venture and a new R&D and manufacturing center in Doha, Qatar.<br><br>About Shifamed<br><br>Founded in 2009 by serial entrepreneur Amr Salahieh, Shifamed LLC is a privately held medical device innovation hub focused on the development of novel medical products to address clinical needs in the rapidly evolving fields of cardiology and ophthalmology.<br><br>Description:<br><br>Akura Medical, a Shifamed portfolio company, is seeking a highly skilled and motivated Sr. or Staff Software Engineer to contribute to the design, development, and integration of advanced medical imaging systems. In this role, you will serve as a senior technical contributor, applying your expertise to solve complex engineering problems while collaborating across multidisciplinary teams. You will play a critical role in developing innovative imaging technologies that meet regulatory standards and advance patient care. This is a full-time, on-site position at our new, R&D facility in Doha, Qatar.<br><br>Responsibilities, Skills & Hands-On Experience:<br><br>Contribute to the architecture, design, and integration of medical image processing systems, ensuring scalability, reliability, and compliance with regulatory requirements (e.g., FDA, ISO 13485). Develop and implement imaging algorithms, visualization tools, and system components. Collaborate closely with R&D, clinical, regulatory, and manufacturing teams to align technical deliverables with program objectives. Perform feasibility studies, risk assessments, and trade-off analyses to guide design decisions. Mentor junior engineers, sharing best practices in design, coding, and testing. Partner with external vendors and collaborators to support imaging-related initiatives. Develop and execute testing protocols, verification, and validation processes. Contribute to technical documentation, including regulatory submissions. Stay current with industry trends and emerging technologies in medical imaging, proposing improvements and new approaches.<br><br><br>Education & Work Experience:<br><br>Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or related field (M. S. preferred).8+ years of experience in medical imaging systems design and development. Strong knowledge of imaging modalities (e.g., X-ray, MRI, ultrasound) and image processing algorithms. Proficiency in software development (e.g., MATLAB, Python, C++), visualization, and hardware integration. Experience with UI frameworks such as VTK and Qt/QML. Experience with cloud-based imaging applications and integration of AI/ML methods for computer vision/medical imaging. Solid understanding of regulatory and quality standards, including cybersecurity (e.g., ISO 13485, IEC 60601, FDA requirements). Track record of technical contributions, including patents, publications, or conference presentations in medical imaging. Strong problem-solving, communication, and collaboration skills. Ability to succeed in a fast-paced, entrepreneurial environment.<br><br><br>Our salary ranges are calculated by role, level, and location. Please note that your position within that range will be determined by your job-related knowledge, location, skills, experience, relevant education, and training/certifications.<br><br>NOTICE TO CANDIDATES: Please be aware that Shifamed and its portfolio companies do not conduct interviews or extend offers through mobile web chat applications. Please report any such occurrences to hr@shifamed.com.

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>THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)<br><br>Location: Bangkok, Thailand (*Not open for remote work)<br><br>Get to Know our Team:<br><br>As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.<br><br>We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda’s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.<br><br>The Opportunity: <br><br>As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.<br><br>In this Role, you’ll get to:<br><br>Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations<br><br>What you’ll Need to Succeed:<br><br>At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources.<br><br>It’s Great if you Have: <br><br>MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #yerevan #sydney #melbourne #perth #vienna #graz #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis<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.

<p><strong>About Mint AI</strong></p><p>Mint AI is a sovereign, Arabic-first applied-intelligence firm headquartered in Doha. We build AI that is Arabic-native by design and deploy it for government and enterprise across Qatar, GCC and the wider Middle East.</p><p>Our work covers the whole stack: custom AI applications, Arabic language intelligence, the communications that help institutions adopt AI with confidence, and the GPU infrastructure.</p><p>We are global in vision and locally compliant in practice.</p><p><br></p><p><strong>Our values: The Mintality</strong></p><p>We hire for character as carefully as for skill, and everyone at Mint AI works by the Mintality, our shared set of values. We build Arabic-native, culturally grounded AI that serves the many, combining rigorous method with creativity, openness to the world and real dialogue between institutions and people. We are honest about what AI can and cannot do, and we never build systems that deceive, manipulate or harm; every team member can raise ethical concerns freely, and every candidate has a dedicated values conversation during hiring.</p><p><br></p><p><strong>The role</strong></p><p>Applied AI Engineers turn client problems into working AI solutions. You'll sit close to our clients and our Strategists. You'll build custom applications on top of Arabic-capable language models and ship them into real government and enterprise workflows. In this role, product thinking matters as much as engineering skill.</p><p><br></p><p><strong>What you will do</strong></p><ul><li>Design and build LLM applications, including retrieval systems, agents, document intelligence and conversational tools.</li><li>Adapt models for Arabic, covering Modern Standard Arabic, Gulf dialects and bilingual content.</li><li>Build rapid prototypes and demos that help clients see what's possible.</li><li>Design prompts, retrieval pipelines and evaluation frameworks tuned to client data.</li><li>Work directly with client teams to gather requirements and iterate on feedback.</li><li>Harden prototypes into production systems with the AI Operations team.</li><li>Share what you learn so it becomes reusable components and playbooks.</li><li>Treat cultural accuracy as seriously as model accuracy, and design every application around the person it serves.</li></ul><p><br></p><p><strong>What you bring</strong></p><ul><li>Genuine alignment with our values: the Mintality, shown through how you have worked, what you have built and what you have chosen not to do.</li><li>3+ years of software engineering experience, including hands-on work building LLM applications.</li><li>Strong Python skills and experience with modern AI frameworks and vector databases.</li><li>A solid grasp of RAG, agents, fine-tuning trade-offs and model evaluation.</li><li>Experience working directly with customers or business stakeholders.</li><li>The ability to move fast, own outcomes and explain technical choices simply.</li></ul>

<p><strong>About Mint AI</strong></p><p>Mint AI is a sovereign, Arabic-first applied-intelligence firm headquartered in Doha. We build AI that is Arabic-native by design and deploy it for government and enterprise across Qatar, GCC and the wider Middle East.</p><p>Our work covers the whole stack: custom AI applications, Arabic language intelligence, the communications that help institutions adopt AI with confidence, and the GPU infrastructure.</p><p>We are global in vision and locally compliant in practice.</p><p><br></p><p><strong>Our values: The Mintality</strong></p><p>We hire for character as carefully as for skill, and everyone at Mint AI works by the Mintality, our shared set of values. We build Arabic-native, culturally grounded AI that serves the many, combining rigorous method with creativity, openness to the world and real dialogue between institutions and people. We are honest about what AI can and cannot do, and we never build systems that deceive, manipulate or harm; every team member can raise ethical concerns freely, and every candidate has a dedicated values conversation during hiring.</p><p><br></p><p><strong>The role</strong></p><p>Our AI systems run inside institutions that can't afford downtime, data leaks or unpredictable outputs. You'll build the operational backbone that makes Mint AI deployments reliable, observable and compliant. Your scope runs from the first pilot to production scale. As a founding engineer, you'll set the standards the rest of the team builds on.</p><p><br></p><p><strong>What you will do</strong></p><ul><li>Design and run the infrastructure for deploying, monitoring and scaling LLM-powered applications.</li><li>Build pipelines for model serving, evaluation, versioning and rollback.</li><li>Implement observability for AI systems: latency, cost, quality drift and Arabic output accuracy.</li><li>Support deployment in both cloud and on-premise environments that meet Qatar's data residency and security requirements.</li><li>Automate CI/CD, testing and incident response for AI workloads.</li><li>Work with Applied AI and ML engineers to take prototypes into production.</li><li>Set operational best practice and document it as the team grows.</li></ul><p><br></p><p><strong>What you bring</strong></p><ul><li>Fluency in Arabic, written and spoken, is required, along with professional English. Arabic is our primary working voice, not a translation layer.</li><li>Genuine alignment with our values: the Mintality, shown through how you have worked, what you have built and what you have chosen not to do.</li><li>3+ years of software engineering experience, with at least 2 in infrastructure, platform, SRE or MLOps roles.</li><li>Hands-on experience deploying and operating LLM or ML systems in production.</li><li>Strong skills in Python and/or Go, containers, Kubernetes and infrastructure as code.</li><li>Experience with GPU workloads and model serving frameworks (for example vLLM, TGI or Triton).</li><li>Familiarity with security, compliance and data governance in regulated or government settings.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The AI Operations Specialist is a junior-level role responsible for executing day-to-day physical AI operations, including data collection, model training support, physical edge deployment, and ongoing system maintenance. This role combines hands-on technical execution (robotics, digital billboards, IoT edge devices) with creative innovation to brainstorm and prototype new physical AI use cases. Working in close collaboration with external vendors and internal engineering teams, the specialist will support the entire lifecycle of physical AI solutions from initial concept to live site deployment.</p><br><br><br><u><b>Job Responsibilities 1</b></u> <br><p>Coordinate and execute high-quality data collection, annotation, and preprocessing workflows to support the training of computer vision, NLP, and robotics models.</p><br> <p>Support the physical installation, setup, and calibration of AI-enabled hardware, including digital billboards, edge compute nodes, camera networks, sensors, and robotic assets.</p><br> <p>Monitor operational uptime and system health of deployed physical AI installations, performing first-line troubleshooting and escalating bugs to engineering teams.</p><br> <p>Collaborate closely with technology vendors and hardware suppliers to coordinate deployments, test integrations, and ensure rapid resolution of hardware-software conflicts.</p><br> <p>Actively contribute creative ideas and conceptualize new physical AI use cases (e.g., smart interactive billboards, automated facility management solutions, edge intelligence) that solve real-world problems.</p><br> <p>Build and test rapid prototypes of AI-integrated physical setups, evaluating feasibility and demonstrating concepts to internal stakeholders.</p><br> <p>Ensure all physical AI operations, data gathering activities, and device management practices comply with security, privacy, and Responsible AI guidelines.</p><br> <p>Maintain a central log of physical deployments, system configurations, and operational incidents to support continuous product improvement.</p><br><br><br><u><b>Job Responsibilities 2</b></u> <br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Fundamental understanding of machine learning pipelines, specifically data collection, model training, and edge inference.</p><br> <p>Familiarity with Linux environments, command-line interfaces, and shell scripting.</p><br> <p>Basic programming skills (preferably in Python or C++) for automating simple operational tasks.</p><br> <p>Strong mechanical and electronic aptitude with the ability to safely assemble, connect, and configure physical IT/robotic components.</p><br> <p>Creative mindset with the ability to brainstorm and articulate new use cases for emerging technologies.</p><br><br><br><u><b>Job Experience</b></u> <br><p>0 to 2 years of experience (Junior level) in technical operations, software/hardware deployments, or robotics.</p><br> <p>Hands-on experience with physical systems, edge hardware (e.g., Raspberry Pi, NVIDIA Jetson, Arduino), sensors, or basic electronics is highly preferred.</p><br> <p>&nbsp;Prior experience with data gathering, model labeling tools, or manual system testing is a strong plus.</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Artificial Intelligence/Machine Learning L4<br>Build High-Performing Teams<br>Data Governance L4<br>Data, Integration &amp; Automation Management L4<br>IT Service Management L4<br>Leadership_321977503<br>Operations Management L4<br>Provide Direction<br>Quality_321977507<br>Resilience<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Computer Science or Electrical Engineering<br><br><br><br> </div>

<p><strong>Position Summary:</strong></p><p>The Lead Data Engineer is responsible for leading the design, development, implementation, and optimization of scalable cloud-based data platforms and engineering solutions that enable analytics, business intelligence, and data-driven decision-making across Group Digital. The role provides technical leadership, establishes engineering best practices, ensures the delivery of secure and high-performance data solutions, and supports the continuous evolution of the organization’s data ecosystem.</p><p><br></p><p><strong>Key Responsibilities and Accountabilities:</strong></p><ul><li>Lead the design, development, implementation, and optimization of scalable cloud-based data platforms, data lakes, and data pipelines supporting Group Digital initiatives.</li><li>Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud technologies to integrate data from multiple internal and external sources.</li><li>Develop and optimize data models, storage architectures, and processing frameworks to ensure high performance, scalability, reliability, and cost efficiency.</li><li>Establish and enforce data engineering standards, coding best practices, documentation, and governance across the data engineering function.</li><li>Collaborate with Business Intelligence, Product, Technology, Commercial, Marketing, and Content teams to translate business requirements into scalable technical solutions.</li><li>Ensure data quality, integrity, security, and compliance through monitoring, validation, and governance processes.</li><li>Support the development of analytics, reporting, dashboards, and self-service BI capabilities by delivering reliable and trusted datasets.</li><li>Optimize cloud infrastructure, database performance, and processing workloads to improve system availability and operational efficiency.</li><li>Troubleshoot and resolve complex data platform issues, ensuring minimal disruption to business operations.</li><li>Mentor and provide technical guidance to Data Engineers, promoting knowledge sharing and continuous capability development.</li><li>Provide technical leadership across the Data Engineering function by driving engineering best practices, mentoring engineers, and guiding technical decisions across Group Digital.</li><li>Work closely with cross-functional stakeholders, vendors, and technology partners to deliver data engineering initiatives aligned with business priorities.</li><li>Contribute to Agile delivery by participating in sprint planning, backlog refinement, code reviews, testing, deployment, and continuous improvement activities.</li></ul><p>Ensure adherence to enterprise data governance, security, architecture, and compliance standards.</p><p><br></p><p><strong>Job Requirements and Qualifications:</strong></p><p><strong>Education: </strong></p><ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field.</li><li>A master’s degree or relevant cloud certifications (e.g., Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect) is an advantage.</li></ul><p><strong>Experience: </strong></p><ul><li>Minimum 7+ years of progressive experience in Data Engineering, Data Platform Development, or related disciplines.</li><li>Proven experience designing and implementing enterprise-scale data platforms and cloud-native data solutions.</li><li>Experience leading technical initiatives and mentoring engineering teams.</li><li>Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud technologies.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Your Mission The Lead Engineer Industrial Digital Twin leads the design, implementation, and delivery of industrial digital twin solutions across the asset lifecycle. The role ensures accurate data integration, high quality technical execution, and strong customer engagement, with emphasis on AVEVA Asset Information Management (AIM), engineering data governance, and digital engineering workflows.</p><p>Your Role Magic happens when you bring great people together! Define and lead the architecture and delivery of digital twin and asset information solutions, including data modeling, taxonomy definition, and metadata quality. Collaborate with Sales and Project Managers to develop scope, estimates, and technical deliverables. Collaborate with data science teams to integrate predictive models, anomaly detection, and engineering analytics into the twin Configure and deploy AVEVA AIM, including data ingestion, model structuring, dashboards, and search configurations. Integrate engineering, maintenance, and operational data (P&amp;IDs, 3D models, CMMS, Historian, DCS, IoT, SCADA tags, documents). Conduct on-site and remote data validation, configuration, commissioning, and user acceptance testing. Define and enforce data governance frameworks, class libraries, and engineering information standards (ISO 15926, CFIHOS, ISA-95/ISA-88, OPC UA, and BIM standards (ISO 19650)). Coordinate with global engineering centers to ensure accuracy and quality. Identify project risks and interoperability challenges and create mitigation plans. Serve as primary technical interface with customers, managing expectations and resolving issues.</p><p>General Ensure adherence to engineering processes, cybersecurity guidelines, and quality standards. Mentor engineering team members and support capability development. Optimize project cost, resource allocation, and reduce rework to improve margins. Core Competencies Digital Twin Architecture &amp; Strategy Asset Information Management &amp; Data Governance Customer &amp; Operational Domain Knowledge Problem Solving Consultative Global Collaboration &amp; Cross-functional Leadership Communication &amp; Stakeholder Alignment Risk &amp; Change Management People Leadership &amp; Mentoring</p><p>About You Preferred Technical Skills AVEVA Asset Information Management (AIM): ADF loading, connectors, dashboards, class libraries, data governance. Competitor platform experience (desirable): Hexagon SDx/SPF, Bentley iTwin/AssetWise, Siemens COMOS/Xcelerator, AspenTech APM, IBM Maximo, SAP PM. Understanding of engineering deliverables: P&amp;IDs, 3D models, datasheets, tag lists, Understanding of UI/UX best practices and knowledge on Industrial protocols and related integration basics.. Data tools: SQL, ETL/ELT pipelines, Python scripting. Exposure to cloud deployment (Azure/AWS), OT/IT cybersecurity, and historian/DCS/SCADA data. Strong background in industrial automation, engineering information systems, or digital transformation. Hands-on delivery experience with AVEVA AIM or equivalent digital twin platforms. Experience working with EPCs and owner-operators. Proven customer-facing leadership and issue-resolution skills. Experience with risk assessment, data validation, and governance frameworks. Manage licensing, upgrades, and compatibility across digital ecosystems. Lead engineering change processes (Management of Change, audit trails, approvals). Background leading multi-disciplinary engineering teams in global environments Bring your technical expertise to a team that values innovation and execution apply today!</p><p>Rewards designed for you Our Total Rewards is our way of saying: We see you and we value you. It s more than just pay and benefits it s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we re here for what matters most to you. Discover more at our Career Page. * Country-specific programs and initiatives may be available. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric apply today!</p><p>€40 billion global revenue +9% organic growth employees in 100+ countries You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Preferred Technical Skills AVEVA Asset Information Management (AIM): ADF loading, connectors, dashboards, class libraries, data governance.</li><li>Competitor platform experience (desirable): Hexagon SDx/SPF, Bentley iTwin/AssetWise, Siemens COMOS/Xcelerator, AspenTech APM, IBM Maximo, SAP PM.</li><li>Understanding of engineering deliverables: P&amp;IDs, 3D models, datasheets, tag lists, Understanding of UI/UX best practices and knowledge on Industrial protocols and related integration basics..</li><li>Data tools: SQL, ETL/ELT pipelines, Python scripting.</li><li>Exposure to cloud deployment (Azure/AWS), OT/IT cybersecurity, and historian/DCS/SCADA data.</li><li>Strong background in industrial automation, engineering information systems, or digital transformation.</li><li>Hands-on delivery experience with AVEVA AIM or equivalent digital twin platforms.</li><li>Experience working with EPCs and owner-operators.</li><li>Proven customer-facing leadership and issue-resolution skills.</li><li>Experience with risk assessment, data validation, and governance frameworks.</li><li>Manage licensing, upgrades, and compatibility across digital ecosystems.</li><li>Lead engineering change processes (Management of Change, audit trails, approvals).</li><li>Background leading multi-disciplinary engineering teams in global environments</li></ul><p></p></section>

<p>The applicant will be responsible for providing leadership in a Biotechnology Guided by AI and Engineering component of the QBRI NEXUS to develop new biotechnologies for QBRI investigators, advance strategic infrastructure plans and their practical application, and advance scientific investigation. The Senior Scientist will play a pivotal role in driving innovation and ensuring the highest standards of scientific and biotechnological excellence in areas aligned with the center and institute goals.</p> <h3>Job Role Description</h3> <ul> <li>Develop and conduct independent/joint original research contributing to the institute programs.</li> <li>Develop multidisciplinary research programs with synergies to the ongoing research agenda.</li> <li>Contribute to the development of QBRI s research strategy, business plan and research execution.</li> <li>Lead a team of scientists and researchers to develop new biotechnologies and solutions in research.</li> <li>Support and implement initiatives for developing the center s infrastructure to ensure achievement.</li> <li>Ensure compliance with research protocols, safety, and regulatory standards.</li> <li>Foster collaborative relationships within HBKU and national and international research institutions.</li> <li>Contribute to research project administrative functions and monitoring requests.</li> <li>Supervise Master/PhD students, research associates, postdoctoral fellows, research and technical staff.</li> <li>Seek and secure external funding to complement HBKU resources.</li> <li>Prepare progress reports and recommend improvements to enhance research performance.</li> </ul><p><strong>Desired Candidate Profile</strong></p><p>Minimum Knowledge, Skills &amp; Experience</p> <ul> <li>PhD in Biomedical Engineering, Bioengineering, Electrical Engineering, or a related field with hands-on experience.</li> <li>Minimum of 6 years of relevant professional experience with a demonstrated strong track record of publications, scholarly output, conference papers, reports, and/or professional and/or technical contributions in the relevant scientific discipline.</li> <li>Demonstrated expertise in developing experimental platforms and technologies that enable data acquisition and applied machine learning, integrating sensing, instrumentation, and computational analysis into functional systems.</li> <li>Proven ability to work at the interface of engineering and biology, developing technologies driven by biological questions, not in isolation from them.</li> <li>Domain knowledge in technologies relevant to their field of expertise.</li> <li>An independent thinker with the capacity to formulate and execute innovative scientific strategies, lab operations, and to champion their ideas and projects.</li> <li>An outstanding contributor to original research, scientific rigor, and superior knowledge in scientific research methods, as well as evaluation of research results.</li> <li>Ability to motivate and lead research team.</li> <li>Competency to initiate collaborations/partnerships, and build and embrace stakeholder relations.</li> <li>Excellent writing skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely.</li> <li>Proficiency in a programming language (e.g. Python, C/C++, or MATLAB) for data analysis, instrument control, and automation.</li> <li>Working knowledge of electronics: circuit design, sensors, and microcontroller platforms (Arduino, Raspberry Pi, ESP32).</li> <li>Experience integrating sensors and instruments via APIs/SDKs into automated or closed-loop systems.</li> <li>Arabic proficiency is an advantage.</li> </ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are Qatar Insurance Company (QIC), the leading insurance provider in GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses. Our vision is to make QIC group become the first Digital Ecosystem in the region by combining insurance and non-insurance services in one platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere. Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.</p><p>As a QA Backend Tech Lead you will drive QA strategy and best practices across QIC s backend ecosystem while mentoring QA engineers in product teams. In your day-to-day work, you will be part of the Core team, ensuring the quality of our insurance platform and distributed backend services. The Core team develops the backend platform that powers QIC s insurance products and expanding lifestyle services, building scalable, high-performance services for the QIC Ecosystem.</p><h2>Responsibilities</h2><p>Define and own the backend quality strategy across the software development lifecycle</p><p>Lead testing of distributed microservices, APIs, event-driven architectures, and end-to-end business flows</p><p>Build and evolve automated testing frameworks and quality gates within CI/CD pipelines</p><p>Drive non-functional, performance, and reliability testing for high-load backend services</p><p>Use observability tools to investigate production issues and collaborate with engineering teams on root-cause analysis</p><p>Improve test infrastructure, quality metrics, and engineering processes to increase release confidence</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><ul><li>5+ years of experience in QA Engineering</li><li>Proven technical leadership as a QA Tech Lead, QA Lead, or Principal SDET, with hands-on ownership of quality for production backend services</li><li>Significant experience testing distributed backend microservices, including gRPC APIs and Kafka event-driven systems</li><li>Hands-on experience with test automation, CI/CD quality gates (GitLab CI)</li><li>Experience with Kubernetes and public cloud platforms (GCP preferred)</li><li>Strong knowledge of observability tools (ELK, Grafana) for production debugging and root-cause analysis</li><li>Working background in defining QA strategy across the SDLC, including performance testing, quality metrics, and release readiness</li><li>Proficiency in performance and non-functional testing for high-load backend services</li><li>Excellent communication and stakeholder management skills</li><li>English level B2 or higher</li></ul><p><strong>Nice to have:</strong> Strong programming skills in Java and/or Python, experience with contract, API, and performance testing tools. Experience with test data management in regulated environments, ArgoCD/GitOps, and insurance, fintech, payments domains or e-commerce is also relevant</p><p></p></section>

???? Welcome to Your Next Adventure!<br><br>????‍♂️ The Magic You Bring<br><br>6+ years in a Dev Ops, Cloud Ops, or SRE role owning infrastructure for large-scale, distributed production systems Deep AWS expertise across multi-account environments — Organizations, IAM, VPC, ECS, RDS, Secrets Manager, and cost management tooling Advanced container orchestration experience, with strong hands-on ownership of ECS (EC2 capacity providers, task definition lifecycle, service autoscaling) and/or Kubernetes in production Production-grade database operations experience: schema migrations, performance tuning, connection management, and failover on Postgre SQL and/or other relational/NoSQL engines Proven track record designing and maintaining CI/CD pipelines (Git Hub Actions) across multi-team, multi-environment delivery workflows Fluency with observability stacks — metrics, logging, tracing, and alerting — using tools like Datadog, Prometheus/Grafana, or Open Search; experience reducing observability costs at scale is a plus Advanced IaC practice with Terraform or Pulumi: modular design, state management, drift detection, and multi-account rollouts Strong automation and tooling development skills in Python (primary) and/or Go; comfortable building internal platforms, not just scripts Solid networking fundamentals: DNS, load balancing, security groups, VPN, and the ability to diagnose production connectivity issues without a runbook Experience operating under compliance frameworks (PCI-DSS, SOC 2, ISO 27001) — building controls into infrastructure, not bolting them on afterward Comfortable working with engineering leadership to translate infrastructure decisions into business outcomes: availability, cost efficiency, and delivery velocity<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

We are an applied AI lab building end-to-end software agents.<br><br>We're the makers of Devin, the first AI software engineer.<br><br>Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google Deep Mind, and Nuro.<br><br>Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.<br><br>We are an applied AI lab building end-to-end software agents.<br><br>We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.<br><br>Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google Deep Mind, and Nuro.<br><br>Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.<br><br>About The Role<br><br>At Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin/Windsurf.<br><br>You’ll work directly with engineers to understand their workflows, identify high-impact use cases, and deploy Devin/Windsurf into real production environments. You’ll lead demos and pilots, support integrations, and drive adoption of the Cognition platform from the inside out.<br><br>This role combines hands-on technical work, customer partnership, and rapid execution. You'll serve a broad range of clients, switching context frequently and staying ahead of issues before they become blockers. You're expected to be proactive, make judgment calls, and take ownership of outcomes.<br><br>In This Role, You Will<br><br>Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using Devin Work closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributor Build deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilization Build! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the team Be the customer oracle! Exercise your product instincts to help set the roadmap<br><br>What We Value<br><br>Customer empathy — you care deeply about how engineers work and what helps them succeed Ownership mindset — you take responsibility for results, not just tasks Technical curiosity — you enjoy digging into unfamiliar systems and understanding how they really work Bias toward execution — you move quickly from problem to solution Grit — you’re comfortable operating in ambiguous, high-intensity environments Exploratory rigor — You poke at edges, ask uncomfortable questions, and would rather find problems yourself than have them find you.<br><br>Requirements<br><br>Strong engineering foundation from a rigorous technical environment Demonstrated track record of exceptional performance in whatever you've pursued, whether academic, athletic, professional, or entrepreneurial Self-directed by default. You don't need a manager to tell you what to do next or how to prioritize. Strong communication skills. You can hold your own with senior engineers and executives alike. Have a high tolerance for ambiguity, intensity, and sustained effort when the problem demands it. Willingness to travel across MENA - 50%<br><br>You might excel if you…<br><br>Advanced in at least one modern programming language (e.g., Python, Type Script) Experience writing and debugging real software systems Want to work directly with real users on high-impact technical problems Learn quickly by being embedded in challenging, real-world environments Have worked at an early-stage startup or in a role where you operated well beyond your job description<br><br>Equal Opportunity<br><br>Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations for real-world applications.<br> In this role, you'll use your bot engineering expertise, conversational design skills, and quality-focused approach to build reliable, useful bots and messaging integrations that deliver a great user experience.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Review, debug, optimize, and refactor bot implementations to improve correctness, reliability, maintainability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and build stable, user-friendly bot experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>