Git Jobs in Qatar
13372 Jobs Found
Qatar - Doha
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 Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team?<br><br>Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes Able to analyze data to help us make better decisions Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science/information systems/engineering/related field 6+ years of experience in software engineering with at least 4+ years in data/ml engineering Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns/best practices, functional programming and object-oriented programming. Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc. Familiar with general Machine Learning concepts and common models - ie, regularization, Tree Models, etc Familiar with statistical analysis concepts - ie, p-value, z-score, etc Analytical problem-solving capabilities & experience. A strong data-driven engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and technologies Experience with Scala/Scala Spark development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #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 #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<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.
Qatar - Doha
Overview<br><br>University of Doha for Science and Technology (UDST), officially established by Emiri Decision No. 13 of 2022, is Qatar’s first national applied university and the country’s premier destination for academic, technical, and professional education. With more than 9,000 students and 700 staff, UDST offers over 70 bachelor’s, master’s, diploma, and certificate programs across its five colleges: Business, Computing & Information Technology, Engineering & Technology, Health Sciences, and General Education. In addition, UDST houses specialized training centers that serve both individuals and industry<br><br>UDST is recognized for its student-centered learning, cutting-edge facilities, and applied, experiential approach. Our world-class faculty and researchers leverage innovative learning technologies and foster partnerships with global institutions to develop highly skilled graduates who contribute directly to Qatar’s knowledge-based economy and support the goals of Qatar National Vision 2030. As a growing hub for research and innovation, UDST is home to advanced projects that bridge academia and industry.<br><br>UDST Center of Excellence - Artificial Intelligence and Innovation is dedicated to advancing cutting-edge AI research and developing practical solutions that tackles real-world challenges. Our mission is to drive scientific progress and technological innovation in intelligent systems, contributing to Qatar's transition to a knowledge-based economy in line with Qatar National Vision 2030.<br><br>We are seeking an outstanding Postdoctoral Researcher to join our team at the Center of Excellence in Artificial Intelligence and Innovation. This role focuses on conducting applied research in machine learning, federated learning, and explainable AI (XAI) with real-world applications in healthcare, energy, and smart infrastructure. You will develop privacy-preserving machine learning systems, create interpretable AI solutions, and deploy models on edge and cloud platforms. This is an excellent opportunity to advance trustworthy AI research while contributing to Qatar’s innovation priorities and digital transformation.<br><br>Responsibilities<br><br>Key Responsibilities<br><br>Conduct applied research in machine learning, federated learning, and explainable AI across domains such as healthcare, energy, and smart infrastructure Develop privacy-preserving machine learning systems and interpretable AI solutions that ensure transparency and trust Deploy machine learning models on edge and cloud platforms, ensuring robustness and scalability Publish research findings in top-tier peer-reviewed conferences and journals Lead and contribute to high-impact research projects aligned with the Center's priorities Ensure reproducibility and documentation of research through best practices in code and data management Integrate XAI techniques to ensure AI solutions meet ethical standards and domain-specific requirements Collaborate with internal and external stakeholders on interdisciplinary research initiatives Contribute to research proposals and external funding applications to support the Center's growth Mentor junior researchers, graduate students, and research assistants<br><br>Qualifications<br><br>Required Qualifications<br><br>PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrated research experience in machine learning, with focus on federated learning, explainable AI, or privacy-preserving MLStrong publication record in peer-reviewed journals and top-tier AI/ML conferences (e.g., Neur IPS, ICML, ICLR, AAAI, CVPR, KDD) Expertise in deep learning frameworks (PyTorch, Tensor Flow, Keras) and classical ML tools (scikit-learn, XGBoost) Strong background in machine learning, federated learning, or explainable AIExperience with evaluating AI models, benchmark design, and assessment methodologies Experience with explainable AI libraries (e.g., SHAP, LIME, Captum) and interpretability techniques Experience with federated learning frameworks (e.g., Flower, Tensor Flow Federated) or privacy-preserving MLProven ability to conduct independent research and contribute to collaborative research teams Excellent analytical, problem-solving, and communication skills, including research presentations and technical writing Proficiency with version control systems (Git) and reproducible research practices Experience with computational resources and high-performance computing environments Fluency in written and spoken English<br><br>Preferred Qualifications How to Apply<br><br>Experience applying ML to healthcare, energy, or smart infrastructure domains Familiarity with AI safety, alignment, fairness, bias detection, or responsible AI research Experience with cloud and edge deployment platforms (e.g., AWS Sage Maker, Azure ML, Docker, Kubernetes) Knowledge of MLOps practices, CI/CD pipelines, and model deployment Experience with model monitoring, drift detection, and retraining strategies Experience with data engineering and preprocessing tools (e.g., Spark, Airflow, data versioning) Understanding of human-AI interaction and user-centered AI design Familiarity with domain-specific toolkits (e.g., MONAI for medical imaging, FHIR for healthcare data) Track record of research impact (citations, h-index, awards) Experience with interdisciplinary research or industry collaborations Previous postdoctoral or industrial research experience Experience with grant writing and research funding applications Contributions to open-source AI projects or frameworks Arabic language skills What We Offer Competitive salary and comprehensive benefits package Opportunity to conduct applied research in ML, federated learning, and explainable AI with real-world impact in healthcare and energy Collaborative and dynamic work environment with cutting-edge technology Access to state-of-the-art facilities and computational resources through strategic partnerships Professional development opportunities, international collaborations, and conference participation<br>Interested Candidates Should Submit The Following Documents<br><br>Updated CV/Resume Cover letter highlighting research experience, interests, and motivation List of publications and research statement (required) Contact information for two professional references<br><br>Application Deadline: 31st March 2026<br><br>UDST is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applications from all qualified candidates regardless of race, color, religion, gender, national origin, age, disability, or veteran status.
Qatar - Doha
Overview<br><br>University of Doha for Science and Technology (UDST), officially established by Emiri Decision No. 13 of 2022, is Qatar’s first national applied university and the country’s premier destination for academic, technical, and professional education. With more than 9,000 students and 700 staff, UDST offers over 70 bachelor’s, master’s, diploma, and certificate programs across its five colleges: Business, Computing & Information Technology, Engineering & Technology, Health Sciences, and General Education. In addition, UDST houses specialized training centers that serve both individuals and industry<br><br>UDST is recognized for its student-centered learning, cutting-edge facilities, and applied, experiential approach. Our world-class faculty and researchers leverage innovative learning technologies and foster partnerships with global institutions to develop highly skilled graduates who contribute directly to Qatar’s knowledge-based economy and support the goals of Qatar National Vision 2030. As a growing hub for research and innovation, UDST is home to advanced projects that bridge academia and industry.<br><br>UDST Center of Excellence - Artificial Intelligence and Innovation is dedicated to advancing cutting-edge AI research and developing practical solutions that tackles real-world challenges. Our mission is to drive scientific progress and technological innovation in intelligent systems, contributing to Qatar's transition to a knowledge-based economy in line with Qatar National Vision 2030.<br><br>We are seeking an outstanding Postdoctoral Researcher to join our team at the Center of Excellence in Artificial Intelligence and Innovation. This role focuses on conducting applied research in machine learning, federated learning, and explainable AI (XAI) with real-world applications in healthcare, energy, and smart infrastructure. You will develop privacy-preserving machine learning systems, create interpretable AI solutions, and deploy models on edge and cloud platforms. This is an excellent opportunity to advance trustworthy AI research while contributing to Qatar’s innovation priorities and digital transformation.<br><br>Responsibilities<br><br>Key Responsibilities<br><br>Conduct applied research in machine learning, federated learning, and explainable AI across domains such as healthcare, energy, and smart infrastructure Develop privacy-preserving machine learning systems and interpretable AI solutions that ensure transparency and trust Deploy machine learning models on edge and cloud platforms, ensuring robustness and scalability Publish research findings in top-tier peer-reviewed conferences and journals Lead and contribute to high-impact research projects aligned with the Center's priorities Ensure reproducibility and documentation of research through best practices in code and data management Integrate XAI techniques to ensure AI solutions meet ethical standards and domain-specific requirements Collaborate with internal and external stakeholders on interdisciplinary research initiatives Contribute to research proposals and external funding applications to support the Center's growth Mentor junior researchers, graduate students, and research assistants<br><br>Qualifications<br><br>Required Qualifications<br><br>PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrated research experience in machine learning, with focus on federated learning, explainable AI, or privacy-preserving MLStrong publication record in peer-reviewed journals and top-tier AI/ML conferences (e.g., Neur IPS, ICML, ICLR, AAAI, CVPR, KDD) Expertise in deep learning frameworks (PyTorch, Tensor Flow, Keras) and classical ML tools (scikit-learn, XGBoost) Strong background in machine learning, federated learning, or explainable AIExperience with evaluating AI models, benchmark design, and assessment methodologies Experience with explainable AI libraries (e.g., SHAP, LIME, Captum) and interpretability techniques Experience with federated learning frameworks (e.g., Flower, Tensor Flow Federated) or privacy-preserving MLProven ability to conduct independent research and contribute to collaborative research teams Excellent analytical, problem-solving, and communication skills, including research presentations and technical writing Proficiency with version control systems (Git) and reproducible research practices Experience with computational resources and high-performance computing environments Fluency in written and spoken English<br><br>Preferred Qualifications How to Apply<br><br>Experience applying ML to healthcare, energy, or smart infrastructure domains Familiarity with AI safety, alignment, fairness, bias detection, or responsible AI research Experience with cloud and edge deployment platforms (e.g., AWS Sage Maker, Azure ML, Docker, Kubernetes) Knowledge of MLOps practices, CI/CD pipelines, and model deployment Experience with model monitoring, drift detection, and retraining strategies Experience with data engineering and preprocessing tools (e.g., Spark, Airflow, data versioning) Understanding of human-AI interaction and user-centered AI design Familiarity with domain-specific toolkits (e.g., MONAI for medical imaging, FHIR for healthcare data) Track record of research impact (citations, h-index, awards) Experience with interdisciplinary research or industry collaborations Previous postdoctoral or industrial research experience Experience with grant writing and research funding applications Contributions to open-source AI projects or frameworks Arabic language skills What We Offer Competitive salary and comprehensive benefits package Opportunity to conduct applied research in ML, federated learning, and explainable AI with real-world impact in healthcare and energy Collaborative and dynamic work environment with cutting-edge technology Access to state-of-the-art facilities and computational resources through strategic partnerships Professional development opportunities, international collaborations, and conference participation<br>Interested Candidates Should Submit The Following Documents<br><br>Updated CV/Resume Cover letter highlighting research experience, interests, and motivation List of publications and research statement (required) Contact information for two professional references<br><br>Application Deadline: 31st March 2026<br><br>UDST is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applications from all qualified candidates regardless of race, color, religion, gender, national origin, age, disability, or veteran status.
Confidential
Qatar
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>We are seeking a proactive and customer-oriented IT Assistant to provide first-level technical support and ensure the smooth operation of the organization's IT infrastructure. The successful candidate will be responsible for troubleshooting hardware and software issues, supporting end users, maintaining IT assets, and assisting with day-to-day IT operations.</p><p><br></p><p><br></p><ul><li>Provide first-level technical support for desktops, laptops, printers, and other IT equipment.</li><li>Install, configure, maintain, and troubleshoot Windows 10/11 operating systems and Microsoft 365 applications.</li><li>Support user account creation, password resets, and basic Active Directory administration.</li><li>Diagnose and resolve issues related to network connectivity, VPN, Wi-Fi, email, and peripheral devices.</li><li>Install, update, and maintain software applications, antivirus programs, and security patches.</li><li>Manage and resolve IT support requests through the organization's ticketing system within defined service levels.</li><li>Assist with employee onboarding and offboarding by preparing devices, creating user accounts, and configuring required access.</li><li>Maintain accurate records of IT assets, software licenses, and technical documentation.</li><li>Perform routine maintenance and preventive checks on IT equipment.</li><li>Escalate complex technical issues to senior IT personnel when necessary.</li><li>Support IT projects, system upgrades, and infrastructure improvements as assigned.</li><li>Ensure compliance with company IT policies, security standards, and best practices.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul><li>Diploma or Bachelor's degree in Information Technology, Computer Science, or a related discipline.</li><li>1–3 years of experience in IT Helpdesk, Desktop Support, or a similar technical support role.</li><li>Good working knowledge of Windows 10/11, Microsoft 365, and basic Active Directory administration.</li><li>Basic understanding of networking concepts including TCP/IP, DNS, DHCP, VPN, LAN, and Wi-Fi.</li><li>Experience using IT service management or ticketing systems (e.g., ServiceNow or equivalent) is an advantage.</li><li>Familiarity with computer hardware installation, troubleshooting, and maintenance.</li><li>Knowledge of endpoint security and antivirus solutions is preferred.</li></ul><p><br></p><p><b>Preferred Certifications</b></p><ul><li>Microsoft Certifications (Microsoft 365, Windows, or Azure Fundamentals).</li><li>CompTIA A+ or other relevant IT support certifications are an advantage.</li></ul></div>
Qatar - Qatar
<p>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration through conceptualization to realization of planning, design or project delivery in the built and natural environments. For over 60 years we ve led with vision, contributing to many of the world s most ambitious projects, iconic places, remarkable experiences and prosperous communities. As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51 st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey. We invite you to join us. Why? When you join KEO, you ll discover more than just a job you ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</p><p>Our newest opportunity is for a talented ITS Engineer - ICT , seconded to our client from government sector in Doha, Qatar . The role will support the Senior ICT Engineer in ensuring the availability, performance, security and resilience of RMC ICT infrastructure, including data centre environments, networks, virtualized platforms, hardware, software and associated systems supporting Intelligent Transport Systems (ITS). We envisage success in this role to include;</p><ul><li>Monitoring and supporting Road Management Centre (RMC) systems to ensure required performance, availability and service levels.</li><li>Reviewing and witnessing ITS project commissioning , ensuring RMC hosting, configuration and network infrastructure meet Ashghal specifications and performance requirements.</li><li>Supporting the Senior ICT Engineer in the investigation, analysis and design of new projects and existing ITS assets, ensuring RMC infrastructure can meet required compute, network, storage and backup needs.</li><li>Supporting the management and performance monitoring of the RMC ICT and infrastructure maintenance contractor , ensuring availability targets for LAN, hardware and software systems are achieved.</li><li>Monitoring preventive maintenance activities and ensuring secondary and contingency measures are available and operational for RMC/DR control rooms and data centre equipment.</li><li>Monitoring the configuration and management of RMC virtualized environments , ensuring appropriate resource allocation and effective monitoring and alerting.</li><li>Monitoring RMC/DR firewall configurations and hardware change controls , ensuring changes are properly documented in line with ICT best practices.</li><li>Reviewing plans, specifications and estimates for roadway ITS implementation projects , assessing the suitability of RMC/DR data centre hardware and infrastructure and identifying additional resource requirements.</li><li>Supporting the resolution of technical issues, including substandard products, and providing technical guidance to project team members.</li><li>Coordinating with Ashghal ISD to ensure RMC operational technology aligns with IT security requirements and management measures.</li><li>Supporting studies on hosting options, cloud readiness and optimal ICT architectures for RMC environments.</li><li>Identifying technology trends and recommending improvements to the efficiency, reliability and performance of RMC and DR data centre environments.</li><li>Providing technical input into troubleshooting, fault investigation and triage activities and undertaking technical work within the scope of competence.</li><li>Maintaining up-to-date knowledge of industry best practices and applying these to support professional development.</li><li>Adhering to Health & Safety policies, procedures and work instructions.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>To be successful in this dynamic opportunity, we envision that your career journey to date will include 10+ years of relevant experience, including at least 5 years specialist experience in ICT infrastructure. partnered with a Bachelor s Degree in Engineering, Information Technology, Computer Science or a relevant discipline . Holding Chartered Membership of an engineering or relevant professional body is advantageous. Holding CCNA or equivalent certification related to network hardware, software and telemetry systems. Demonstrating experience in data centre environments, virtualization, network infrastructure and service availability management . Demonstrating experience in monitoring ICT infrastructure, fault management systems and maintenance contractors. Establishing strong working relationships with clients, contractors, stakeholders and project teams and effectively supporting change. Demonstrating the ability to influence and engage stakeholders and staff at all levels. Being proficient in Microsoft Office, network management and fault management systems . Communicating effectively in written and spoken English ; Arabic language skills are preferred.</p>
Meeza Qstp LLC
Qatar - Qatar
<p>The primary responsibilities of the Security Infrastructure Engineer Google SecOps:</p><p>Functional Responsibilities:</p><ul><li><strong>Data Ingestion and Normalization Pipeline Management:</strong> Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.</li><li><strong>Parser Development:</strong> Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).</li><li><strong>Data Health Monitoring:</strong> Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.</li><li><strong>SOAR & Automation Engineering</strong></li><li><strong>Playbook Development:</strong> Design and code automated incident response playbooks in Google SOAR using Python and visual builders.</li><li><strong>Connector Engineering:</strong> Build and maintain API integrations between Google SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).</li><li><strong>Workflow Optimization:</strong> Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.</li><li><strong>Case Management Configuration:</strong> Tailoring the SOAR environment to fit the SOC s operational needs, including custom fields, stages, and SLA tracking.</li><li><strong>Platform Administration and Optimization</strong></li><li><strong>System Health Monitoring:</strong> Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.</li><li><strong>Access Control:</strong> Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.</li><li><strong>Threat Intel Ingestion:</strong> Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.</li><li><strong>Collaboration with SOC Team</strong></li><li><strong>Feedback Loops:</strong> Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and noise levels.</li><li><strong>Requirements Gathering:</strong> Interviewing incident responders to understand their manual workflows, then translating those into Google SOAR playbooks.</li><li><strong>Training & Enablement:</strong> Conducting knowledge transfer sessions on how to use UDM Search and the Google SecOps interface to speed up investigations.</li><li><strong>Alignment with Infrastructure Team</strong></li><li><strong>Data Ingestion Strategy:</strong> Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.</li><li><strong>Agent Deployment:</strong> Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.</li><li><strong>Troubleshooting:</strong> Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Knowledge, Skills & Experience</h2><h3>Academic & Professional Qualifications:</h3><ul><li>Bachelor s degree in computer science, IT, Cybersecurity, or equivalent.</li><li>SIEM Certification ( Google SecOps, Splunk, Azure Sentinel).</li><li>Preferred: Security certifications such as Security+, CySA+, CEH, CISSP, GCIH</li></ul><h3>Google SecOps Engineer Experience:</h3><ul><li>3 5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.</li></ul><h3>Skills and Requirements:</h3><ul><li><strong>SIEM/SOAR Mastery:</strong> Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1 2 years specifically focused on Google SecOps (Chronicle). Key Requirement: Required skills: Google SecOps.</li><li><strong>Coding & Scripting:</strong> Professional experience using Python to automate security workflows or build custom API connectors.</li><li><strong>Cloud Infrastructure:</strong> Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.</li><li><strong>Languages:</strong> Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.</li><li><strong>Frameworks:</strong> MITRE ATT&CK, NIST Cybersecurity Framework.</li><li><strong>Tools:</strong> Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).</li><li><strong>Data Standards:</strong> Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.</li></ul><h3>Soft Skills</h3><ul><li>Strong analytical thinking and problem-solving capability.</li><li>Excellent communication skills, able to explain technical findings to non-technical stakeholders.</li><li>Ability to work independently, manage multiple priorities, and meet deadlines.</li><li>Attention to detail and a structured, documentation-driven mindset.</li></ul>
Qatar - Doha
Job Title – Transmission L2 Engineer / Senior Transmission Support Engineer Company – TCS (MEA) Location – Doha, Qatar Job type – Full time About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description:<br>Key Responsibilities1. Advanced Troubleshooting & Fault Isolation Perform deep-dive technical troubleshooting for transmission network issues Analyze faults related to: SDH / DWDM / OTN / Microwave links Fiber breaks and path failures Router/backhaul transmission dependencies Optical power degradation Network synchronization issues Repeated or intermittent link failures Validate service impact and identify probable root cause Perform remote diagnostics and restoration support through EMS/NMS tools2. Incident Resolution & Service Restoration Take ownership of high-priority and complex incidents escalated by L1Drive restoration activities within defined SLA/MTTR targets Coordinate with cross-functional teams such as: Fiber operations Field operations Power team Access/backhaul teams IP/MPLS team OEM/vendor support teams Lead technical bridge calls during major incidents3. Root Cause Analysis (RCA) Conduct detailed RCA for major/repeat incidents Identify whether the issue is due to: Fiber cut Equipment failure Card/module failure Configuration mismatch Optical degradation Power failure External dependency or recurring instability Publish RCA inputs with corrective and preventive actions (CAPA)4. Change & Planned Activity Support Review, validate, and support planned changes in transmission network Assess impact of maintenance activities such as: Link migration Device replacement Card replacement Ring reconfiguration Path rerouting Software/firmware upgrades Provide implementation support and post-change validation Ensure rollback readiness and risk mitigation during planned activities5. Performance & Stability Management Analyze chronic issues and recurring faults Review transmission performance indicators such as: Link stability Error trends Optical power levels Latency or path-related degradation Repeat outage patterns Recommend preventive actions to improve network reliability6. Escalation & Vendor Management Coordinate with OEMs/vendors for hardware/software-related incidents Track vendor cases for RMA, TAC support, and patch recommendations Escalate severe issues to higher technical support teams where required Ensure closure of vendor dependencies within expected timelines7. Documentation & Knowledge Management Prepare incident RCA, technical summaries, and outage reports Create and update SOPs, troubleshooting guides, and knowledge documents Conduct technical mentoring and support for L1 teams Share lessons learned from major incidents and recurring problem areas8. Operational Governance Support major incident review meetings and problem management forums Ensure adherence to SLA, MTTR, and incident process standards Review queue quality, ticket accuracy, and escalation effectiveness of L1 teams Drive continuous improvement opportunities in monitoring and restoration processes<br>Required Technical Skills Strong understanding of telecom transmission technologies: SDHDWDM / OTNMicrowave transmission Fiber transport Ethernet backhaul MPLS transport basics Strong knowledge of transmission faults, path switching, and topology concepts Hands-on experience in alarm/event analysis through EMS/NMS tools Ability to analyze: Path protection/ring failures Optical signal degradation Multiplexer/node faults Cross-connect or routing dependencies in transport layer Understanding of service impact analysis and restoration planning Exposure to OEM platforms (example: Huawei, Nokia, Ericsson, Ciena, Tejas, NEC, Ceragon, etc.) is preferred<br>Application Deadline: 20-Sep-2026 Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
Qatar - Doha
Job Title – Transmission L2 Engineer / Senior Transmission Support Engineer Company – TCS (MEA) Location – Doha, Qatar Job type – Full time About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description:<br>Key Responsibilities1. Advanced Troubleshooting & Fault Isolation Perform deep-dive technical troubleshooting for transmission network issues Analyze faults related to: SDH / DWDM / OTN / Microwave links Fiber breaks and path failures Router/backhaul transmission dependencies Optical power degradation Network synchronization issues Repeated or intermittent link failures Validate service impact and identify probable root cause Perform remote diagnostics and restoration support through EMS/NMS tools2. Incident Resolution & Service Restoration Take ownership of high-priority and complex incidents escalated by L1Drive restoration activities within defined SLA/MTTR targets Coordinate with cross-functional teams such as: Fiber operations Field operations Power team Access/backhaul teams IP/MPLS team OEM/vendor support teams Lead technical bridge calls during major incidents3. Root Cause Analysis (RCA) Conduct detailed RCA for major/repeat incidents Identify whether the issue is due to: Fiber cut Equipment failure Card/module failure Configuration mismatch Optical degradation Power failure External dependency or recurring instability Publish RCA inputs with corrective and preventive actions (CAPA)4. Change & Planned Activity Support Review, validate, and support planned changes in transmission network Assess impact of maintenance activities such as: Link migration Device replacement Card replacement Ring reconfiguration Path rerouting Software/firmware upgrades Provide implementation support and post-change validation Ensure rollback readiness and risk mitigation during planned activities5. Performance & Stability Management Analyze chronic issues and recurring faults Review transmission performance indicators such as: Link stability Error trends Optical power levels Latency or path-related degradation Repeat outage patterns Recommend preventive actions to improve network reliability6. Escalation & Vendor Management Coordinate with OEMs/vendors for hardware/software-related incidents Track vendor cases for RMA, TAC support, and patch recommendations Escalate severe issues to higher technical support teams where required Ensure closure of vendor dependencies within expected timelines7. Documentation & Knowledge Management Prepare incident RCA, technical summaries, and outage reports Create and update SOPs, troubleshooting guides, and knowledge documents Conduct technical mentoring and support for L1 teams Share lessons learned from major incidents and recurring problem areas8. Operational Governance Support major incident review meetings and problem management forums Ensure adherence to SLA, MTTR, and incident process standards Review queue quality, ticket accuracy, and escalation effectiveness of L1 teams Drive continuous improvement opportunities in monitoring and restoration processes<br>Required Technical Skills Strong understanding of telecom transmission technologies: SDHDWDM / OTNMicrowave transmission Fiber transport Ethernet backhaul MPLS transport basics Strong knowledge of transmission faults, path switching, and topology concepts Hands-on experience in alarm/event analysis through EMS/NMS tools Ability to analyze: Path protection/ring failures Optical signal degradation Multiplexer/node faults Cross-connect or routing dependencies in transport layer Understanding of service impact analysis and restoration planning Exposure to OEM platforms (example: Huawei, Nokia, Ericsson, Ciena, Tejas, NEC, Ceragon, etc.) is preferred<br>Application Deadline: 20-Sep-2026 Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
Qatar - Doha
Job Description<br><br>Job Purpose:<br><br>The Digital Solutions Architect leads the end-to-end architecture and governance of smart-city digital solutions delivered on Platform. The role ensures that solution designs from multiple vendors align to Platform’s reference architectures, cloud-agnostic standards, security/compliance requirements, and platform service catalog. The architect translates business outcomes into actionable solution blueprints, ensures integration with Platform’s shared services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role supports scalable, reusable patterns for repeatable onboarding and deployment.<br><br>Qualifications & Experience<br><br>Bachelor’s Degree in Computer Science Information Technology, Cybersecurity, a Master’s degree is highly preferred.10+ years in solution/enterprise architecture for large-scale digital platforms (smart city, government, telco, or critical infrastructure preferred). Experience delivering cloud and hybrid solutions with Kubernetes, APIs, identity, and observability. Proven governance involvement (Design Authority, architecture boards, standards and exception processes). Background working with SIs/vendors under RFP/contracted delivery and acceptance criteria. Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery at scale.<br><br>Skills & Abilities<br><br>Strong end-to-end solution architecture skills across apps, data, integration, security, and operations. Ability to govern multi-vendor delivery and drive alignment to standards without slowing execution. Excellent stakeholder management: translate between business, engineering, security, and operations. Proven ability to define NFRs (availability, performance, resiliency, scalability, observability). Structured documentation and decision-making (ADRs, reference architectures, patterns, roadmaps).<br><br>Tools<br><br>Architecture modeling: Archi Mate / Sparx EA / Visio / Draw.io API & integration: Open API/Async API, API gateways (Apigee / Azure APIM / Kong) Delivery governance: Azure Dev Ops / Jira/Confluence, Git (Git Hub), IaC (Terraform/Bicep)
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Job Description<br><br>Job Purpose:<br><br>The Digital Solutions Architect leads the end-to-end architecture and governance of smart-city digital solutions delivered on Platform. The role ensures that solution designs from multiple vendors align to Platform’s reference architectures, cloud-agnostic standards, security/compliance requirements, and platform service catalog. The architect translates business outcomes into actionable solution blueprints, ensures integration with Platform’s shared services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role supports scalable, reusable patterns for repeatable onboarding and deployment.<br><br>Qualifications & Experience<br><br>Bachelor’s Degree in Computer Science Information Technology, Cybersecurity, a Master’s degree is highly preferred.10+ years in solution/enterprise architecture for large-scale digital platforms (smart city, government, telco, or critical infrastructure preferred). Experience delivering cloud and hybrid solutions with Kubernetes, APIs, identity, and observability. Proven governance involvement (Design Authority, architecture boards, standards and exception processes). Background working with SIs/vendors under RFP/contracted delivery and acceptance criteria. Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery at scale.<br><br>Skills & Abilities<br><br>Strong end-to-end solution architecture skills across apps, data, integration, security, and operations. Ability to govern multi-vendor delivery and drive alignment to standards without slowing execution. Excellent stakeholder management: translate between business, engineering, security, and operations. Proven ability to define NFRs (availability, performance, resiliency, scalability, observability). Structured documentation and decision-making (ADRs, reference architectures, patterns, roadmaps).<br><br>Tools<br><br>Architecture modeling: Archi Mate / Sparx EA / Visio / Draw.io API & integration: Open API/Async API, API gateways (Apigee / Azure APIM / Kong) Delivery governance: Azure Dev Ops / Jira/Confluence, Git (Git Hub), IaC (Terraform/Bicep)
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Mindrift is looking for skilled Full-Stack Web App Developers (Java Script/Type Script + Python or Node) to join the Tendem project (https://tendem.ai/) and build interactive browser-based applications for real-world use cases.<br><br>In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. 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><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-Saa S tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br><br>Key Responsibilities<br><br>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/Fast API/Flask or Node/Express) Design and implement data models, schemas, and persistence layers using SQL (Postgre SQL, SQLite) or NoSQL stores Implement authentication, sessions, and basic role-based access where needed Integrate third-party APIs and AI/LLM services (Open AI, Anthropic, or similar) into product features Handle state management, user input validation, error states, and loading states cleanly Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities) Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability Write clear, testable code and debug end-to-end issues across frontend, backend, and database<br><br>Educational Qualifications<br><br>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br><br>Technical Skills (Essential)<br><br>Strong command of Java Script/Type Script and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar) Solid backend experience in Python (Fast API, Flask, Django) and/or Node.js (Express, Nest JS) Hands-on experience with relational databases (Postgre SQL, MySQL, SQLite) and basic schema design Experience implementing REST APIs, request validation, error handling, and authentication flows Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar) Experience integrating LLM APIs or other AI services into product features is a strong plus Comfortable with version control (Git) and basic testing practices<br><br>Additional Requirements<br><br>Strong attention to detail and commitment to building working, robust products — not demos Self-directed work ethic with the ability to architect, build, and ship features independently Portfolio of shipped web applications (required) English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery
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Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.
Qatar - Doha
Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.
Qatar - Doha
Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.
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<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>* To execute the day-to-day ICS activities related to the operational technology security in the plants by managing the design and overseeing the implementation of all security measures linked to ICS applications and systems, conducting risk assessment and developing contingency plans to mitigate any foreseeable security threats and protect the confidentiality and integrity of employee, customer and business information in compliance with ICS cybersecurity policies , instructions, manuals and standards.</p><br><br><p>* Commissions the preparation and the implementation of necessary operational security software updates, firewall installation, hardware additions, and any authorized technical changes related to the security functions to ensure compliance both with internal security policies etc. and applicable laws and regulations required security levels.* Design and manage processes for detection, investigation, correction, and/or prosecution of operational security breaches, violations, and incidents.<br>* Benchmark, analyze report on, and make recommendations for the improvement of Operational Technology (OT) security infrastructure.* Works with management to ensure that as new equipment, facilities, services, and systems are installed that the OT security issues are addressed.<br>* Typically, a background in technical Operational Technology (OT) roles such as architecture, security program development or operations, with a clear and abiding interest in operational security.* Liaison with and offers technical direction to related operational security governance functions (such as Physical Security/Facilities, Risk Management, Legal and Compliance) plus senior and middle managers throughout the organization as necessary, on information security matters such as routine security activities plus emerging security risks and control technologies.<br>* Plan, implement and upgrade security measures and controls.* Protect digital files and operational security systems against unauthorized access, modification, or destruction.<br>* Maintain data and monitor/review security access authorizations.* Manage network, intrusion detection and prevention systems.<br>* Work out on the security tools such as security asset inventory management and risk management reporting to security information and event management system (SIEM).* Define, implement, and maintain corporate security manuals, policies, procedures & instructions.<br>* Coordinate further security plans, awareness received from vendors and take required actions.* Security assessments of network infrastructure, hosts and applications.<br>* Work out on ICS security related audit findings and maintain corrective actions.* Download, validate and apply the latest Antivirus DAT file to AV server and ensure published to all ICS machines by continuously monitor the AV server dashboard.<br>* Asset identification, monitoring and analysis using supportive tools (IPS, firewall log, system events and antivirus reports.* ICS Firewall Events log, DNS, Router, and switches Events log analysis.<br>* Validation and deployment of firmware and software updates, deactivate of unnecessary software's or access.* Define and implement backup schedule for all ICS assets, System configuration backups, Machines image backups, Router and switches backups, FW backups.<br>* Manage User accounts ICS, network, and security equipment.* Support Project execution team to integrate new Operational Technology (OT) system in Plant security framework.<br>* Work out on Audit findings and observations.* Work out with ICS modifications as requested.<br>* Collect and archive system logs, events, change logs, failure events etc. To support audit and forensic analysis.* Ensure that all implementation activities are complied with published ICS policies, instructions, procedures,</p><br><br><ul>
<li>Bachelor's Degree in Information security Technology, Computer Science or Electronic/Electrical Engineer.</li>
<li>Must be ICS certified from SANS, however following certificates will be great additional advantage for the candidate: - <ul>
<li>GIAC GICSP (Global Industrial Cybersecurity Professional).</li>
<li>ISA CAP (Certified Automation Professional).</li>
<li>Cybersecurity for Automation, Control, and SCADA Systems (ISA-99/IEC-62443) - ISA</li>
<li>Advanced SCADA Security - Red Tiger/ any other vendor.</li>
<li>Industrial Cybersecurity for OPC - Matrikon/any other vendor.</li>
<li>OPC-UA Hands-on Training Level-3 - OPCTI.</li>
</ul>
</li>
<li>3-5 years at least of field experience in OT Cybersecurity domain in Oil & gas & petrochemical industry.</li>
<li>Excellent knowledge of common IT/OT ICS specialization areas related to PLC's, DCS's, PDCS, Firewalls, networks, and switches.</li>
<li>Exposure of implementing IT/OT security policies and regulations.</li>
<li>Knowledge of international & national standards frameworks such as ISA99, IEC62433, IEC61511, IEC62351, IEC62591 ISO27001, 27002, 27005 Compliance regulations.</li>
<li>Extensive knowledge of several ICS DCS/PDCS/PLC/ESD/Servers, routers, switches & firewalls technologies within several OEM technologies such as, Siemens, HIMA, TRICONEX, HONEYWELL, GE, Allan Bradley, CISCO, MacAfee.</li>
</ul><br><ul>
<li><strong>Salary:</strong><ul>
<li>Monthly Rate in QAR Plus allowance</li>
</ul></li>
<li><strong>Work Schedule:</strong><ul>
<li>8 Hours / 5 Days</li>
</ul></li>
</ul>
<ul>
<li><strong>Duration:</strong>
<ul>
<li>2 years with possible extension</li>
</ul>
</li>
<li><strong>Location:</strong>
<ul>
<li>Qatar</li>
</ul>
</li>
</ul> </div>
Qatar - Doha
About the Role<br>Our client is a market-leading banking and financial services organisation investing in advanced AI and digital transformation. We are seeking a Senior AI Engineer to lead the design, development and deployment of enterprise-grade Agentic AI and Generative AI solutions. This role combines hands-on engineering, cloud architecture and technical leadership within a highly regulated environment.<br>Key Responsibilities<br>Lead the design and development of Agentic AI, LLM and multi-agent solutions. Architect AI platforms using RAG, vector databases, embeddings and knowledge retrieval. Design scalable AI solutions across Azure and/or GCP, including Kubernetes/Open Shift. Develop production-grade AI services using Python, APIs, microservices and Kafka. Provide technical leadership, mentoring and guidance across AI engineering initiatives.<br>Technical Skills:<br>Expert Python with strong software engineering and API development experience. Strong knowledge of LLMs, Generative AI, RAG and AI orchestration frameworks. Experience with Lang Chain, Llama Index, Semantic Kernel or similar. Advanced knowledge of Azure/GCP, Docker, Kubernetes, Open Shift and MLOps. Strong experience with Kafka, Spark, SQL, Git, CI/CD and model monitoring.<br>Experience & Qualifications:<br>7+ years of software engineering experience, including 4+ years in AI/ML. Proven experience delivering AI solutions into production. Strong experience in AI architecture, cloud engineering and enterprise integration. Banking or financial services experience is mandatory. Bachelor's or Master's degree in Computer Science, Data Science or a related field.
MTM Group
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<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<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>
Qatar - Doha
Job Purpose<br><br>The Dev Ops Engineer will be responsible for designing, implementing, and managing CI/CD pipelines, infrastructure automation, and containerized deployments to enable fast, reliable software delivery.<br><br>3+ years<br><br>Doha, Qatar<br><br>Full Time<br><br>Key Responsibilities<br><br> Build and maintain CI/CD pipelines using Azure Dev Ops, Jenkins, or similar tools. Manage cloud infrastructure and deployments (Azure). Implement containerization and orchestration (Docker, Kubernetes). Automate repetitive tasks using scripting and configuration management tools. Monitor, troubleshoot, and optimize system performance. Collaborate with development teams to enable Dev Ops culture.<br><br>Required Qualifications<br><br> Bachelor’s degree in computer science, IT, or equivalent. 3+ years of experience in Dev Ops, system administration, or cloud engineering. Strong knowledge of CI/CD, infrastructure as code, and monitoring tools. Candidates must be currently residing in Qatar.<br><br>Preferred Certifications<br><br> Microsoft Certified: Azure Dev Ops Engineer Expert Docker Certified Associate Kubernetes Administrator (CKA)
Qatar - Doha
Company Description Edoxi is a premier provider of professional skills development and organizational advancement, headquartered in Dubai with operations in London, Dubai, and Qatar. The organization collaborates with industry-leading professionals from top global companies to design and deliver a comprehensive curriculum. Since 2018, Edoxi has helped over 20,000 professionals and numerous international corporations build expertise in data science, cyber security, software development, project management, leadership, and soft skills. Edoxi offers immersive, instructor-led offline and online training, with advanced campuses in Dubai, Qatar, and London. Its programs engage learners in more than 30 countries, providing practical, career-focused education. Role Description The Coding for Kids Trainer role is a part-time, on-site position based in Doha, Qatar. The trainer will design and deliver engaging coding lessons for children, using age-appropriate tools, languages, and projects to build foundational programming skills. Day-to-day tasks include preparing lesson plans, developing learning materials, guiding students through hands-on activities, and assessing their progress. The role involves managing classroom dynamics, providing individualized support, and communicating regularly with parents or guardians about learner performance. The trainer will also collaborate with Edoxi’s academic team to refine curricula, integrate new technologies, and ensure safe, inclusive, and inspiring learning environments. Qualifications Strong proficiency in coding concepts and at least one kid-friendly programming language or platform (e.g., Scratch, Blockly, Python basics). Skills in curriculum development, lesson planning, and adapting teaching materials to different age groups and learning styles. Classroom management and facilitation skills, with the ability to keep children engaged through interactive and project-based learning. Clear, patient communication skills and the ability to explain technical concepts in simple, accessible terms to young learners. Experience teaching or mentoring children in STEM or digital skills, preferably in a training center, school, or similar setting. Bachelor’s degree in Computer Science, Education, Information Technology, or a related field (or equivalent practical experience). Comfort working in a multicultural environment and collaborating with colleagues across different campuses. Strong organizational skills, reliability, and a commitment to learner safety, inclusivity, and professional ethics. Familiarity with online learning tools and educational software is an advantage. Fluency in English; additional language skills relevant to the region are a plus.
Qatar - Doha
About Inceptial Technologies UKInceptial Technologies UK is a technology and digital services company delivering innovative ITsolutions, technology consulting, and skilled technology professionals to organizations across the UKand globally. Through its international delivery capabilities and strong technical talent network,Inceptial supports clients with software development, enterprise applications, cloud technologies,digital transformation, and technology staffing solutions.<br>We are looking for an experienced COINS Developer to support and enhance solutions built on the COINS Construction ERP platform. The role will involve a combination of COINS development, application support, and API/integration development. <br>Key Responsibilities • Develop, enhance, and maintain solutions within the COINS Construction ERP platform. • Provide application support and troubleshoot issues related to COINS. • Develop and maintain integrations between COINS and external/in-house applications using available APIs. • Support the extension of existing integrations, including integration with Salesforce. • Work with internal stakeholders and technical teams to understand requirements and deliver effective solutions. • Participate in application enhancements, issue resolution, testing, and documentation. <br>Required Skills & Experience • Hands-on experience working with the COINS Construction ERP platform. • Experience in COINS development and application support. • Strong knowledge of COINS APIs and integration capabilities. • Experience integrating COINS with other enterprise or in-house applications. • Experience with Salesforce integration would be an advantage. • Strong troubleshooting, analytical, and communication skills. Experience • Prior experience as a COINS Developer / COINS Technical Consultant. • Experience supporting, enhancing, and integrating COINS-based solutions.