Python Developer Jobs in UAE in UAE 2026

Full Time 3 - 8 Years Naukri Gulf

Senior AI Engineer

On-site - UAE - Abu Dhabi 10 August 2026

Engineering

<ul><li>Designing and building Generative AI applications using Large Language Models (LLMs)</li><li>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</li><li>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</li><li>Implementing RAG architecture with vector databases</li><li>Knowledge of embeddings, vector DBs, and model evaluation.</li><li>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</li><li>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</li><li>Prompt engineering, tool calling, memory management, and agent orchestration</li><li>Integrating AI services with enterprise APIs, middle ware, and backend systems</li><li>Evaluated & Improvise AI Agent Performance using several metrics</li><li>Deploying scalable AI solutions on Azure / AWS cloud platforms</li><li>Working with model evaluation, guardrails, observability, and AI governance</li></ul>Desired Candidate Profile<ul><li>Bachelor’s degree in computer science, Engineering, or a related field.</li><li>Senior professional with around 10 years of experience.</li><li>3+ years of relevant experience in AI Engineering</li><li>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</li><li>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</li><li>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</li><li>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</li><li>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</li><li>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</li><li>Experience with Agent framework LangChain, Lang Graph.</li><li>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</li><li>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</li><li>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</li><li>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</li><li>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</li><li>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</li><li>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</li><li>Experience working with one or more DevOps tools & config management tools.</li><li>Experience in managing and deploying AI workloads in Kubernetes.</li><li>Experience operating monitoring tools for traditional and cloud environments.</li><li>Strong analytical mind for problem solving.</li></ul>

Bayt

Controller, Finance (Internal Controls)

On-site - UAE 6 August 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> JOB PURPOSE: Assist in maintaining and enhancing the internal control framework across multiple business units and ensuring robust internal control processes. Assist in the preparation of documentation for internal controls, coordinating with multiple teams in the Organization, and leveraging financial systems to ensure accurate and efficient internal control processes. Well-versed in SOX Compliance and its requirements and is responsible for ensuring that the Organization adheres to the Sarbanes-Oxley Act requirements and PCAOB standards. Job Specific Accountabilities Internal Control Framework • Assist in developing, implementing, and maintaining the internal control framework for the finance department. • Support the risk and control self-assessment (RCSA) and key risk indicators (KRIs) to monitor the effectiveness of controls. • Conduct regular testing of financial controls, processes, and procedures to identify discrepancies or errors. • Establishing homogeneous control testing between AD and its subsidiaries • Assist in developing action plans to address audit findings and high-risk items. • Analyze data and provide insights to management on the effectiveness of internal controls. • Ensure compliance with internal policies and procedures related to financial operations and systems. • Maintain documentation of financial and system processes and controls. Regulatory Compliance, Risk Assessment and Mitigation • Assist in identifying, evaluating, and mitigating financial and operational risks. • Support the development and implementation of robust risk management strategies. • Assist in testing the effectiveness of risk management activities. • Ensure compliance with Sarbanes-Oxley (SOX) requirements and PCAOB standards. Policy and Procedure Development: • Participate in developing and implementing financial and system-related policies and procedures. • Ensure policies and procedures are communicated and adhered to across the organization. Audit and Review • Organize and provide the required documentation and detailed explanations for internal and external audits as requested. • Support communication with external auditors by gathering and organizing required information, ensuring smooth interaction and compliance. • Assist in planning and executing internal audits to assess the effectiveness of internal controls. • Assist in preparing documentation and detailed audit reports including control descriptions, testing results, and any necessary follow-up actions. General Responsibilities • Integrate the internal control framework into everyday operations and decision-making processes. • Work collaboratively with various departments to support their internal control and governance requirements. • Stay informed about regulatory changes and assist in updating internal controls to ensure compliance. • Regularly report to the internal controls team on the status of internal controls and risk management activities. • Contribute to the implementation of strategic initiatives related to internal control and governance. • Comply with all UAE, ADNOC, ADNOC Drilling and client Asset Integrity Management codes of practice. QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS: Minimum Qualification • Bachelor’s degree in accounting, finance, Business Administration or equivalent Minimum Experience & Knowledge & Skills • 7 to 8 years of experience in finance and systems compliance, preferably in a regulated industry across different countries and in various ERPs like SAP, Oracle, etc. • Coding – Python, C++ language. • Fluency in spoken and written English. • Strong analytical and computing ability. </div>

Full Time 8 - 12 Years Naukri Gulf

Senior Oracle Core DBA

On-site - UAE - Abu Dhabi 5 August 2026

Information Technology

We are seeking an experienced Senior Oracle Core DBA with a strong background in Oracle Database administration, high availability, disaster recovery, database performance optimization, and replication technologies. The ideal candidate should have hands-on experience managing mission-critical production environments and be capable of independently implementing, upgrading, troubleshooting, and supporting Oracle database infrastructure. Experience with MySQL administration and clustering is also required. Key Responsibilities<ul><li>Install, configure, administer, upgrade, and maintain Oracle Database environments.</li><li>Manage Oracle RAC environments, including installation, administration, monitoring, and troubleshooting.</li><li>Design, implement, and administer Oracle Data Guard (Physical/Logical Standby) for Disaster Recovery.</li><li>Configure, administer, and troubleshoot Oracle GoldenGate (Classic Architecture and Microservices Architecture).</li><li>Perform database performance tuning using AWR, ASH, ADDM, SQL Tuning Advisor, and execution plan analysis.</li><li>Monitor and optimize SQL performance, database resources, memory, storage, and I/O.</li><li>Perform Oracle database patching, Release Updates (RU), upgrades, and migration activities.</li><li>Execute backup and recovery using RMAN and validate recovery procedures.</li><li>Perform database cloning, Data Pump export/import, and database refresh activities.</li><li>Administer ASM, Oracle Clusterware, Oracle Grid Infrastructure, and Oracle Restart environments.</li><li>Install, configure, administer, and troubleshoot MySQL databases.</li><li>Implement and manage MySQL Replication and MySQL Cluster solutions.</li><li>Develop automation scripts using Shell, SQL, or Python to simplify routine DBA activities.</li><li>Perform root cause analysis for database incidents and implement preventive measures.</li><li>Work closely with application, infrastructure, and security teams during project implementation and production support.</li><li>Maintain technical documentation, operational procedures, and disaster recovery documentation.</li><li>Participate in planned maintenance activities and provide on-call support when required.</li></ul> Required Technical SkillsOracle Database<ul><li>Oracle Database 11g, 12c, 19c, and 23ai/26ai</li><li>Oracle RAC</li><li>Oracle ASM</li><li>Oracle Clusterware</li><li>Oracle Grid Infrastructure</li><li>Oracle Restart</li></ul> High Availability & Disaster Recovery<ul><li>Oracle Data Guard</li><li>Data Guard Broker</li><li>Fast-Start Failover (FSFO)</li></ul> Replication<ul><li>Oracle GoldenGate Classic Architecture</li><li>Oracle GoldenGate Microservices Architecture</li></ul> MySQL<ul><li>MySQL Administration</li><li>MySQL Replication</li><li>MySQL InnoDB Cluster / NDB Cluster/ MySQL Cluster</li><li>Backup and Recovery</li></ul> Performance & Monitoring<ul><li>Performance Tuning</li><li>SQL Tuning</li><li>AWR</li><li>ASH</li><li>ADDM</li><li>OEM Cloud Control</li><li>RMAN</li></ul>  Desired Candidate ProfileRequired Qualifications<ul><li>Bachelor’s degree in computer science, Information Technology, or a related field.</li><li>Minimum 8 years of hands-on experience as an Oracle Core DBA.</li><li>Strong experience supporting mission-critical production environments.</li><li>Experience in Oracle database upgrades, migrations, patching, and high-availability solutions.</li><li>Experience administering both Oracle and MySQL database environments.</li></ul> Preferred Certifications<ul><li>Oracle Certified Professional (OCP)</li><li>Oracle Certified Master (OCM) – Preferred</li><li>Oracle Cloud Infrastructure (OCI) Certification – Preferred</li><li>MySQL Database Administrator Certification – Preferred</li></ul> Soft Skills<ul><li>Excellent verbal and written communication skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Good team player with the ability to collaborate across cross-functional teams.</li><li>Ability to work independently with minimal supervision.</li><li>Strong customer focus and commitment to service excellence.</li><li>Ability to manage multiple priorities in a fast-paced production environment.</li><li>Willingness to provide on-call and after-hours support during critical activities.</li></ul>

Bayt

AI Solutions Architect

Remote - UAE 4 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We're looking for a highly technical AI Solutions Architect who is passionate about solving complex business problems using AI. This is a hands-on role for someone who enjoys understanding how businesses operate, designing intelligent AI-powered solutions, and bringing those solutions to life through automation and software development. You'll work across a variety of AI initiatives, from understanding business challenges and designing solution architectures to building scalable, production-ready systems that create measurable business value. We're looking for someone who doesn't just execute ideas, but actively contributes them. Someone who is naturally curious, constantly exploring new AI capabilities, and proactively identifying opportunities to improve how we work, solve problems, and create value. What You'll Do ❏ Analyze business processes and identify opportunities where AI and automation can create measurable value. ❏ Design end-to-end AI solution architectures, workflows, and automation strategies before implementation. ❏ Translate business requirements into scalable technical solutions. ❏ Recommend the most appropriate technologies and implementation approach for each solution. ❏ Build AI-powered applications, intelligent assistants, and workflow automations. ❏ Design and build solutions using no-code platforms, low-code tools, custom software, or a combination of them, depending on what best fits the problem. ❏ Integrate AI solutions with business platforms using APIs, automation technologies, and custom software. ❏ Rapidly prototype ideas and validate concepts before full implementation. ❏ Continuously identify opportunities where AI and automation can improve business operations, productivity, and decision-making. ❏ Proactively propose, prototype, and implement new AI initiatives that create measurable business value. ❏ Challenge existing processes and recommend better ways of solving problems using AI and automation. ❏ Research, evaluate, and implement emerging AI technologies where they create real business value. ❏ Continuously optimize and improve existing AI systems and automations. ❏ Document solution architectures, technical decisions, and implementation approaches. ❏ Collaborate with cross-functional teams throughout discovery, design, implementation, and optimization. You're Our Match If You. .. ❏Have a proven track record of designing, architecting, and building AI-powered applications, intelligent systems, or workflow automations. ❏ Can analyze business problems and translate them into practical AI solutions. ❏ Think in systems and enjoy designing solution architectures before writing code. ❏ Can evaluate multiple implementation approaches and select the one best suited for the problem. ❏ Are proficient in Python and have a strong software engineering foundation. ❏ Have experience integrating APIs and third-party platforms. ❏ Have experience building workflow automations using no-code platforms, low-code tools, custom software, or a combination of them. ❏ Understand modern AI technologies and know when and how to apply them effectively. ❏ Can balance technical feasibility with business objectives. ❏ Naturally identify opportunities where AI can simplify, improve, or transform the way people work. ❏ Think like a product builder, constantly looking for new ideas worth exploring and validating. ❏ Challenge assumptions and recommend better approaches rather than simply executing requirements. ❏ Have strong analytical, problem-solving, and communication skills. ❏ Are proactive, take ownership, and enjoy turning ideas into working solutions with minimal supervision. </div>

Bayt

Senior Machine Learning Engineer

On-site - UAE 1 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description Machine Learning Engineer – Classical & Adaptive ML Discover the Opportunity We are hiring a hands-on Machine Learning Engineer to own the classical ML powering Forge’s detection and triage layer. Forge protects critical Operational Technology (OT) and industrial control environments. In this individual contributor role, you will build and tune models that score and prioritize security alerts, classify OT assets, and separate real threats from noise—all running directly on local, air-gapped appliances. Because every deployment operates in a unique, isolated OT environment without access to cloud MLOps services, our models can't be static artifacts shipped once. You will build adaptive machine learning systems that learn on the edge, evolving over time based on local traffic patterns and analyst feedback. Discover the Role <ul><li>Alert Triage & Scoring: Build and tune XGBoost and gradient boosting models to rank security alerts, drastically cutting false positives and surfacing genuine incidents for analysts. </li><li>Adaptive & Online Learning: Design models that adapt to individual site environments over time using incremental learning, concept drift detection, and human-in-the-loop feedback. </li><li>Asset & Device Classification: Expand our Equipment Type Inference capabilities using tree ensembles and clustering to profile industrial devices from raw network fingerprint data. </li><li>Custom Anomaly Detection: Implement Isolation Forests, one-class methods, and autoencoders alongside our OpenSearch layer to catch threats that static rules miss. </li><li>Risk Scoring: Refine features and models to ensure Forge’s risk scoring accurately reflects real operational exposure. </li><li>Production Pipelines: Build reproducible, version-controlled feature engineering, training, and evaluation pipelines that move beyond standard notebooks. </li><li>Self-Hosted MLOps: Stand up and run a self-hosted MLflow setup for experiment tracking, model registry, and promotion of vetted models to production. </li><li>On-Device Model Lifecycle: Package models to run seamlessly within the appliance Docker stack, complete with evaluation gates, drift monitoring, and controlled on-device retraining. </li></ul>Discover the Requirements <ul><li>4+ years of hands-on experience building and shipping machine learning systems in production. </li><li>Gradient Boosting Expertise: Strong Python fluency with deep experience in XGBoost, LightGBM, or CatBoost. </li><li>Classical ML & Anomaly Toolkit: Solid grounding in scikit-learn, tree ensembles, clustering, anomaly detection (Isolation Forests, autoencoders), and selective deep learning. </li><li>Adaptive ML Experience: Practical experience with online/incremental learning, concept drift, and active learning/feedback loops. </li><li>ML Pipelines & MLOps: Proficiency with pipeline orchestrators (Airflow, Prefect, Dagster, or Kubeflow), data/model versioning (DVC), and model tracking (MLflow). </li><li>Imbalanced Data Expertise: Deep familiarity with rare-event metrics (Precision, Recall, PR curves, calibration) rather than raw accuracy. </li><li>Telemetry Data: Comfort working with large volumes of structured logs and network telemetry. </li></ul> Discover the Desired <ul><li>Exposure to OT, ICS, or SCADA security, industrial protocols, or the Purdue model. </li><li>Experience with OpenSearch or Elasticsearch machine learning capabilities. </li><li>Background deploying models in constrained or offline environments (ONNX export, quantization, air-gapped delivery). </li><li>Experience operating 100% self-hosted MLOps infrastructure without managed cloud services. </li><li>Experience with security telemetry, SIEM, or SOC datasets. </li><li>Familiarity with PyTorch for deep learning crossover work. </li></ul> </div>

Bayt

Measurement Partner, Centre of Excellence (CoE)

On-site - UAE 25 July 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Our team sits at the intersection of sales, product, analytics, and marketing. We help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships. About the Role As a Measurement Partner - Centre of Excellence, you serve as a key regional specialist dedicated to solving complex performance-advertising challenges across your desginated region. Operating as an individual contributor, you will partner closely with regional measurement, product, and sales teams to analyze sophisticated data sets, optimize ad campaigns, and directly improve ROI. This role offers a unique opportunity to lead deep analytical initiatives, prototype measurement tooling, and design experimental methodologies that will directly shape and influence TikTok's broader regional measurement strategy. Responsibilities - Collaborate with sales and measurement teams across the region to develop, implement and lead regional measurement strategies that drive business growth - Support the ideation, creation, and prototyped deployment of sophisticated custom insights, ad effectiveness meta-analysis, or tooling for large-scale data environments for use by wider measurement teams - Act as a regional specialist on full funnel measurement, contributing to cross-functional projects - Design and test bidding, targeting, and optimisation methods to support new product and feature development - Track and report advertiser success metrics to support and grow adoption of measurement solutions across the region - Develop and maintain dashboards, reports, and tools to track Source of Truth (SoT), key performance indicators (KPIs), and measure campaign effectiveness - Analyze and interpret data from various sources, including ad performance, user behavior, and market trends - Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI - Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our regional measurement capabilities Minimum Qualifications: - Strong, proven experience in analytics and digital advertising from large marketing-related organisations or measurement suppliers. - Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, or computer science) or equivalent. - Proven experience in Data Science, Data Analysis, Measurement, or a related field. - Demonstrated ability to drive projects independently and influence cross-functional stakeholders in a matrixed environment. - Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively. - Excellent communication and collaboration skills, with the ability to work closely with regional teams. - Exceptional time management and goal-oriented task management skills. Preferred Qualifications: - Experience working within the regional digital advertising ecosystem, including media agencies and complex, data-driven marketing organisations. - Experience with executing custom analytical work where SQL, HIVE, R, or Python is preferred. - Proficiency in data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI). - Familiarity with privacy-first innovation for marketing measurement systems. </div>

Full Time 25 years Gulf Talnet

Data And Business Intelligence Analyst

On-site - UAE - UAE 23 June 2026

Engineering

Job Purpose- • Strategic focus: Prioritizing PPD initiatives and projects with fixed timelines and budget that can be offloaded from core personnel onto contractors to enable core personnel to focus on strategic and operational objectives. • Service improvement: Timely and efficient delivery of specific PPD initiatives and projects with single point accountability. • Cost optimization through in-house and on-the-job knowledge and skills transfer from the implemented initiatives and projects without depending on external vendors. • Effective vendor and internal functional coordination based on expertise and focused collaboration with relevant stakeholders. Key Responsibilities- A. AI & Advanced Analytics: • Design and implement AI/ML models for production forecasting, anomaly detection, and optimization. • Develop predictive analytics for equipment reliability, deferment reduction, and hydrocarbon loss management. • Integrate AI solutions with real-time production systems and hydrocarbon accounting platforms. • Expertise in AI/ML frameworks (Python, TensorFlow, PyTorch). B. Business Intelligence (BI) Development: • Build and maintain BI dashboards for production planning, hydrocarbon accounting and allocation, and performance monitoring. • Automate reporting workflows using tools like Power BI, Tableau, Qlik, or similar. • Ensure dashboards provide actionable insights for operations, planning, financial and commercial teams. • Develop interactive data visualizations, dashboard creation and reporting automation for the budget (New systems, Department requirements, etc.) C. Data Management & Integration: • Oversee data acquisition from PHD, HEMS, DCS, systems, and hydrocarbon accounting systems (e.g., Energy Components, SAP IS-Oil). • Ensure data quality, integrity, and consistency across multiple sources. • Implement ETL processes and manage data pipelines for analytics and visualization. D Visualization & Decision Support: • Develop interactive visualizations for production trends, allocation breakdowns, and forecast accuracy. • Provide intuitive tools for management to analyze KPIs and make informed decisions. • Support scenario planning and “what-if” analysis for production optimization. E. Digital Transformation & Automation: • Drive initiatives for digital oilfield implementation and smart hydrocarbon accounting. • Automate manual processes in planning and reporting using AI and RPA (Robotic Process Automation). • Champion data-driven culture and train stakeholders on analytics tools. F. Governance & Compliance: • Ensure compliance with data security, regulatory reporting, and corporate standards. • Maintain audit trails for all data transformations and analytics outputs. G. Role-Specific / Best-Practice KPIs • Accuracy and reliability of AI-driven forecasts. • Reduction in manual reporting time through BI automation. • Improvement in decision-making speed and quality. • Data integrity and system uptime for analytics platforms.Experience- More than 10 years of relevant experience. Technical Competencies- • Exposure to BI tools (Power BI, Tableau, Qlik). • Basic knowledge of data engineering (SQL, ETL processes). • Understanding of visualization and reporting techniques for technical and non-technical audiences. • Proficiency in MS Excel (charts, trend analysis) and MS Office tools. • Awareness of oil & gas production systems and digital transformation concepts • Familiarity with document management and reporting tools (MS Word, Adobe Acrobat). Working Schedule- • ADNOC normal working hours with weekends and holidays. • The project duration is 3 years, with an optional extension of an additional 2 years.

Full Time 3 - 6 Years Naukri Gulf

Kafka Engineer

On-site - UAE - Abu Dhabi 12 June 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"><ul><li>Development:<ul><li>Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</li><li>Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.</li><li>Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.</li><li>Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.</li><li>Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.</li><li>Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.</li><li>Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.</li></ul>User Acceptance Testing (UAT):<ul><li>Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.</li><li>Work closely with QA teams to identify and resolve defects during the UAT phase.</li><li>Ensure all UAT activities comply with the organization’s standards and best practices.</li><li>Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.</li></ul>Production Support:<ul><li>Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.</li><li>Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.</li><li>Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.</li><li>Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.</li><li>Provide 24/7 support for production systems, including participation in on-call rotation.</li></ul></li></ul></div></section><section>Desired Candidate Profile<ul><li>Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.Experience:<ul><li>3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.</li><li>Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.</li><li>Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.</li><li>Familiarity with distributed systems, microservices architecture, and event-driven design patterns.</li><li>Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.</li></ul>Technical Skills:<ul><li>Proficiency in programming languages such as Java, Python, or Scala.</li><li>Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.</li><li>Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).</li><li>Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.</li><li>Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.</li><li>Experience with KSQLDB for real-time processing and analytics on Kafka topics.</li><li>Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.</li><li>Understanding of networking, security, and compliance aspects related to Kafka.</li><li>Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).</li></ul></li></ul></section>

Full Time 6 - 10 Years Naukri Gulf

Senior AI Engineer

On-site - UAE - Abu Dhabi 9 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Brocode Solutions is seeking an experienced and innovative AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions. The ideal candidate will have extensive experience in Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and intelligent chatbot development.You will be responsible for building enterprise-grade AI applications, autonomous agents, knowledge retrieval systems, and AI-powered business automation solutions for clients across multiple industries.Key Responsibilities <ul><li>Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).</li><li>Build intelligent AI Agents capable of planning, reasoning, tool usage, and workflow automation.</li><li>Develop and optimize Retrieval-Augmented Generation (RAG) systems using vector databases and enterprise knowledge bases.</li><li>Architect conversational AI solutions, chatbots, virtual assistants, and customer support automation platforms.</li><li>Fine-tune, evaluate, and optimize open-source and commercial AI models.</li><li>Integrate AI solutions with enterprise systems such as ERP, CRM, HRMS, and custom applications.</li><li>Build multi-agent systems and orchestrate complex AI workflows.</li><li>Implement prompt engineering, agent memory, tool calling, and function execution frameworks.</li><li>Develop scalable APIs and microservices for AI applications.</li><li>Collaborate with software engineering teams to deploy AI solutions in cloud and on-premise environments.</li><li>Monitor model performance, accuracy, hallucination rates, and AI system reliability.</li><li>Stay current with emerging AI technologies and industry best practices.</li></ul></div></section><section>Desired Candidate Profile AI & Machine Learning <ul><li>7–10 years of software engineering experience with at least 4+ years focused on AI/ML.</li><li>Strong experience with Generative AI and Large Language Models (GPT, Claude, Gemini, Llama, Mistral, etc.).</li><li>Hands-on experience building AI Agents using frameworks such as:<ul><li>LangChain</li><li>LangGraph</li><li>CrewAI</li><li>AutoGen</li><li>LlamaIndex</li><li>Semantic Kernel </li></ul></li></ul>RAG & Knowledge Systems <ul><li>Extensive experience designing and implementing RAG architectures.</li><li>Experience with vector databases:<ul><li>Pinecone</li><li>Weaviate</li><li>Qdrant</li><li>ChromaDB</li><li>Milvus</li><li>FAISS</li></ul></li><li>Knowledge of document processing, embeddings, chunking strategies, and semantic search. </li></ul>Chatbots & Conversational AI <ul><li>Development of enterprise chatbots and virtual assistants.</li><li>Experience with conversational memory, context management, and multi-turn interactions.</li><li>Integration with WhatsApp, Microsoft Teams, Slack, Web, and Mobile platforms.</li></ul>Programming<ul><li>Expert-level Python development. </li><li>Experience with:<ul><li>FastAPI</li><li>Django</li><li>Flask</li><li>REST APIs</li><li>GraphQL </li></ul></li></ul>Cloud & DevOps <ul><li>Experience with AWS, Azure, or Google Cloud.</li><li>Containerization using Docker and Kubernetes.</li><li>CI/CD pipelines and MLOps practices.</li><li>Model deployment and monitoring. </li></ul>Databases <ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Elasticsearch </li></ul>Preferred Qualifications <ul><li>Experience building autonomous AI agents for business process automation.</li><li>Knowledge of multimodal AI systems (Text, Image, Audio, Video).</li><li>Experience with fine-tuning open-source LLMs.</li><li>Experience with AI security, governance, and compliance.</li><li>Familiarity with NLP, transformers, and deep learning frameworks such as PyTorch or TensorFlow.</li><li>Experience deploying AI solutions in enterprise environments.</li></ul> What We Offer <ul><li>Opportunity to work on cutting-edge AI and Generative AI projects.</li><li>Exposure to enterprise-scale AI implementations across UAE and GCC markets.</li><li>Collaborative and innovation-driven work environment.</li><li>Competitive salary and benefits package.</li><li>Career growth opportunities in emerging AI technologies.</li></ul></section>

Full Time 5 - 10 Years Naukri Gulf

Senior System Integration Lead Engineer

On-site - UAE - Abu Dhabi 29 May 2026

Research & Development

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Experienced Senior System Integration and Test Lead Engineer to lead integration, deployment, verification, validation, and testing activities for large-scale Integrated Control and Supervisory Systems (ICSS).The role involves end-to-end responsibility for system integration across software, hardware, networking, virtualization, and field interfaces in mission-critical environments. The engineer will coordinate multidisciplinary teams, manage deployment and testing activities, and ensure successful delivery of integrated systems aligned with project requirements, quality standards, and operational needs.Key Responsibilities<ul><li>Lead system integration, installation, deployment verification, and field testing activities for integrated systems.</li><li>Coordinate integration across software, hardware, communication, and operational subsystems.</li><li>Plan and manage functional, integration, performance, and stress testing activities.</li><li>Ensure test completeness, traceability, and compliance with project and customer requirements.</li><li>Analyze system logs, troubleshoot issues, perform root cause analysis, and drive issue resolution.</li><li>Oversee deployment strategies across development, test, staging, and production environments.</li><li>Support deployment and orchestration of containerized and virtualized infrastructures.</li><li>Coordinate with engineering, commissioning, maintenance, operations, and project management teams.</li><li>Ensure preparation of technical documents including integration procedures, test procedures, reports, and deployment documentation.</li><li>Drive process improvement, technical governance, and knowledge sharing within the project teams.</li><li>Support alignment between local execution teams and international development/design teams.</li></ul>Required Technical SkillsSystem Integration & Testing<ul><li>Strong experience in integration and testing of complex distributed systems.</li><li>Experience with end-to-end verification and validation activities.</li><li>Strong troubleshooting and failure analysis capabilities.</li><li>Experience managing requirement traceability and system validation.</li></ul>Infrastructure & Platforms<ul><li>Hands-on experience with Kubernetes cluster deployment, scaling, and troubleshooting.</li><li>Experience with container technologies such as Docker and Podman.</li><li>Strong understanding of virtualization technologies such as VMware or equivalent platforms.</li><li>Good knowledge of Linux administration and system configuration.</li></ul>Networking & Communication<ul><li>Strong knowledge of network architectures and communication protocols including TCP/IP and UDP.</li><li>Experience working with field devices, telecom systems, and integrated operational networks.</li></ul>Programming & Tools<ul><li>Scripting and programming experience in Python, Bash, SQL, JavaScript, or similar technologies.</li><li>Experience with monitoring and observability tools such as Zabbix, OpenSearch, or equivalent.</li><li>Good knowledge of engineering and project tools such as Microsoft Project, Visio, and Excel.</li></ul>Leadership & Coordination Skills<ul><li>Proven leadership experience in system integration and testing activities.</li><li>Ability to coordinate cross-functional and international engineering teams.</li><li>Strong communication and stakeholder management skills.</li><li>Good planning and execution capabilities under schedule pressure.</li><li>Ability to manage multiple priorities and support critical decision-making activities.</li></ul> </div></section><section>Desired Candidate ProfilePreferred Qualifications<ul><li>Experience in railway systems, transportation control systems, or mission-critical environments.</li><li>Exposure to safety-critical or highly regulated industries.</li><li>Experience working in international and multicultural project environments.</li><li>Self-driven, proactive, and solution-oriented mindset.</li></ul>Education<ul><li>Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, Information Technology, Telecommunications, or related discipline.</li></ul>Language Requirements<ul><li>Fluent English communication skills (written and spoken) are mandatory.</li><li>Additional language skills will be considered an advantage</li></ul></section>

Full Time 0 to 0 years LinkedIn

AI & Digital Experience Analyst

On-site - UAE - Dubai Wednesday

Human Resources

Job Code: JPC - 6104 Job Title: AI & Digital Experience Analyst Job Location: Abu Dhabi Contract: 12 Months Job Summary The AI & Digital Experience Analyst serves as the execution and innovation engine for the Technology Operations division. Reporting directly to the Associate Director of Technology Operations, this role focuses on translating high-level AI architectures into functional prototypes, driving enterprise-wide AI adoption, including Microsoft Copilot, and measuring the operational impact of the Technology Operations division. The role acts as the in-house Copilot Expert, responsible for enabling and coaching end users to build their own agents in Microsoft Copilot Studio, including advanced, multi-step agents that connect to enterprise data and automate business workflows. The Analyst bridges the gap between technical AI development and end-user experience, ensuring that Technology Services is positioned as a proactive, value-driving partner to the business. Core Accountabilities AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by Tech Ops leadership into testable, functional models. Copilot Studio Expertise: Serve as the subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents, from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration. Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive adoption of digital workplace tools, specifically spearheading Microsoft Copilot training initiatives. Strategic Impact Reporting: Design and maintain executive dashboards and Impact Stories that translate complex Tech Ops achievements, such as automated ticket deflection, infrastructure cost savings, and system uptime, into clear business-facing metrics. Operational Responsibilities Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration. Model Training & Testing: Ingest, format, and structure internal data, including policies and IT documentation, for AI knowledge bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment. Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement. Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before full implementation approval. Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with organizational standards. Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution. Job Qualifications & Experience 5 10 years of overall experience. Bachelor s degree in Artificial Intelligence, Computer Science, Information Technology, or a related technical field. Strong foundational understanding of Large Language Models (LLMs), prompt engineering, and AI toolsets. Hands-on familiarity with Microsoft Copilot and Microsoft Copilot Studio, including building and configuring agents, topics, actions, and connectors. Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical business users. Basic scripting capability, such as Python or Power Shell, for data formatting and API interactions. High capacity for independent problem-solving and rapid prototyping. Keep up to date with the latest AI tools and model releases and identify opportunities to leverage them internally. High-agility, cloud-first infrastructure requiring rapid adaptation to new AI frameworks and continuous learning. Skills: data analysis, AI/ML Basics, Customer Experience (CX) / User Experience (UX), Digital Analytics tools

Full Time 0 to 0 years

Business Solutions Manager - Inventory

On-site - UAE - Abu Dhabi Emirate 10 August 2026

Aviation & Maritime

Job Description About the Role As Etihad continues to transform its commercial capabilities through Journey 2030, we’re looking for an experienced Revenue Management professional to help shape the next generation of inventory optimisation and commercial decision-making. Joining our Solutions & Innovation team, you’ll sit at the intersection of Revenue Management, Technology and Data, leading initiatives that improve how inventory is forecast, optimised and managed across our global network. This isn’t a traditional Revenue Management role. You’ll combine commercial expertise with technology, advanced analytics and product thinking to design smarter solutions, automate complex processes and deliver measurable commercial value. Working alongside Digital, Technology and Commercial stakeholders, you’ll help define how our Revenue Management systems evolve to support one of the world’s fastest-growing airlines. If you’re passionate about solving complex commercial problems, improving systems and driving innovation, we’d love to hear from you. What you’ll be doing Lead the development and delivery of innovative Revenue Management solutions focused on inventory optimisation and availability management. Identify opportunities to improve commercial systems, business processes and decision frameworks through automation, advanced analytics and emerging technologies. Design and deliver proof-of-concept initiatives before scaling successful solutions into production. Act as the business owner for inventory-related Revenue Management systems, ensuring they continue to evolve in line with commercial priorities. Partner with Revenue Management, Commercial, Digital and Technology teams to define business requirements and influence future product roadmaps. Oversee system enhancements, upgrades, testing and production releases while ensuring minimal business disruption. Monitor inventory optimisation performance, user behaviour and forecasting outcomes, providing recommendations that improve commercial performance. Manage calibration of forecasting models, optimisation parameters and inventory controls to maximise revenue opportunities. Ensure high standards of system data quality, governance and usability across Revenue Management platforms. Translate complex analytical outputs into practical commercial recommendations for business stakeholders. Qualifications What we’re looking for We’re looking for someone who combines strong airline Revenue Management expertise with a genuine passion for improving systems, solving business problems and delivering innovation. You’ll be comfortable working across commercial and technical teams, influencing stakeholders and turning complex business requirements into scalable solutions. Essential Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research, Economics or a related discipline (MBA advantageous). Minimum 5 years relevant experience within the airline industry. Hands-on experience with inventory optimization and availability management. Experience using Revenue Management platforms such as Amadeus, Sabre or PROS. Strong understanding of demand forecasting, optimization and commercial airline operations. Excellent stakeholder management and communication skills. Demonstrated experience delivering projects while balancing operational priorities. Desirable Experience with Python, R, Tableau, Databricks or similar analytical tools. Exposure to cloud technologies including Azure, AWS or GCP. Experience delivering automation, analytics or AI-enabled commercial solutions. Product ownership or systems implementation experience within an airline environment. Additional Information Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight. To learn more visit www.etihad.com Recruitment Fraud Alert Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Full Time 0 to 0 years

Senior DevOps Engineer

On-site - UAE - Dubai 5 August 2026

Information Technology

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment. The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams. You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications. Requirements Key Responsibilities Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms Required Technical Skills Dev Ops & CI/CD Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code Container & Platform Technologies Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture Infrastructure as Code (IaC) Terraform Ansible Infrastructure automation Configuration management Scripting & Programming Python Groovy Linux Shell Scripting (Bash) API integration and automation Source Control Git Git Hub Dev Sec Ops & Security Experience integrating security tools into CI/CD pipelines, including: Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning Monitoring & Observability ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis Operating Systems Linux Windows Shell scripting System administration Cloud Platforms Hands-on experience with one or more public cloud providers: Microsoft Azure AWSOracle Cloud Infrastructure (OCI) Experience with: Compute Storage Networking Cloud platform services Required Technical Knowledge Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering Networking & Security Good understanding of: Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards Required Competencies Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies Preferred Experience Banking Financial Services Fin Tech Other highly regulated enterprise environments Experience supporting: Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations Nice to Have Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Full Time 0 to 0 years

Senior Software Engineer

On-site - UAE - Dubai 5 August 2026

Information Technology

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries. In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream Requirements 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them Benefits A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Part Time 0 to 0 years

Senior Test Manager

Hybrid - UAE - Dubai 5 August 2026

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

Full Time 0 to 0 years

Senior DevOps Engineer

On-site - UAE - Dubai 5 August 2026

Information Technology

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment. The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams. You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications. Requirements Key Responsibilities Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms Required Technical Skills Dev Ops & CI/CD Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code Container & Platform Technologies Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture Infrastructure as Code (IaC) Terraform Ansible Infrastructure automation Configuration management Scripting & Programming Python Groovy Linux Shell Scripting (Bash) API integration and automation Source Control Git Git Hub Dev Sec Ops & Security Experience integrating security tools into CI/CD pipelines, including: Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning Monitoring & Observability ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis Operating Systems Linux Windows Shell scripting System administration Cloud Platforms Hands-on experience with one or more public cloud providers: Microsoft Azure AWSOracle Cloud Infrastructure (OCI) Experience with: Compute Storage Networking Cloud platform services Required Technical Knowledge Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering Networking & Security Good understanding of: Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards Required Competencies Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies Preferred Experience Banking Financial Services Fin Tech Other highly regulated enterprise environments Experience supporting: Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations Nice to Have Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Full Time 0 to 0 years

Senior Software Engineer

On-site - UAE - Dubai 5 August 2026

Information Technology

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries. In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream Requirements 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them Benefits A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Part Time 0 to 0 years

Senior Test Manager

Hybrid - UAE - Dubai 5 August 2026

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

Full Time 0 to 0 years

AI Scientist

On-site - UAE - Dubai 2 August 2026

Customer Service

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Technologies Programming Languages: Python #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Full Time 0 to 0 years

Senior Platform Engineer

On-site - UAE - Abu Dhabi Emirate 27 July 2026

Other

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era. We are looking for a Senior Platform Engineer to join the QSphere engineering team at Quantum Gate and build the engineering platform that powers the entire software development lifecycle (SDLC). You will design, build, and operate the cloud platform that enables development teams to develop, test, deploy, and operate software securely and reliably. From infrastructure as code and Kubernetes to CI/CD, Git Ops, observability, and security, you will help create a modern, scalable platform that allows engineers to ship software faster while maintaining high standards for reliability, security, and operational excellence. This role combines Platform Engineering, Cloud Infrastructure, and Dev Ops practices, treating the engineering platform as a product with a strong focus on automation, self-service, and developer experience. Key Responsibilities Build and Operate the Engineering Platform Design, implement, and maintain the cloud infrastructure supporting development, testing, staging, and production environments. Build and evolve Kubernetes-based platforms for scalable application deployment. Define and maintain Infrastructure as Code using Terraform (or equivalent IaC technologies). Continuously improve platform scalability, resilience, availability, and operational efficiency. Enable Modern Software Delivery Design and maintain CI/CD pipelines supporting automated build, testing, security validation, and deployment. Implement Git Ops-based deployment workflows using tools such as Argo CD. Support progressive deployment strategies including blue/green, canary, and automated rollback. Improve software delivery through automation and standardized engineering workflows. Drive Reliability and Observability Implement and maintain monitoring, logging, alerting, and tracing across the platform. Define operational standards, service reliability objectives, and performance metrics. Participate in troubleshooting, incident response, and root cause analysis to continuously improve platform reliability. Build Security into the Platform Implement platform security best practices across infrastructure and deployment pipelines. Manage identity, authentication, authorization, secrets, and access management. Integrate security controls into the SDLC through automated policy enforcement, vulnerability scanning, and infrastructure hardening. Collaborate Across Engineering Work closely with software engineers, architects, QA, and cloud specialists to improve engineering productivity. Provide internal tooling and self-service capabilities that simplify application deployment and operations. Support architecture discussions to ensure platform capabilities align with product and application requirements. Contribute to continuous improvement of engineering practices across the organization. Requirements Strong experience designing and operating cloud-native infrastructure on AWS, Azure, or Google Cloud Platform. Hands-on experience with Kubernetes and container technologies such as Docker. Experience building and maintaining production CI/CD pipelines using tools such as Git Lab CI, Git Hub Actions, Jenkins, Tekton, or similar. Experience with Infrastructure as Code using Terraform, Cloud Formation, or equivalent. Strong scripting skills using Python, Bash, or similar languages. Experience with Git and modern software development workflows. Knowledge of monitoring and observability platforms such as Prometheus, Grafana, ELK, or similar. Strong understanding of infrastructure, networking, storage, and cloud architecture. Experience implementing infrastructure and platform security best practices. Excellent problem-solving, collaboration, and communication skills. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. Nice to Have Git Ops technologies such as Argo CD. Helm, Tekton, or similar platform tooling. Identity and Access Management technologies including Keycloak, OAuth2/OIDC, or SAML. Configuration management tools such as Ansible. Service Mesh technologies and API gateways. Experience operating highly available distributed systems. Knowledge of confidential computing, secure boot, platform integrity, or attestation technologies. Familiarity with Domain-Driven Design (DDD). Join us to drive innovation and shape the future of technology! How To Apply Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role. Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

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