DevOps Engineer Jobs - Dubai UAE

<p><strong>The Landmark Group</strong> began its journey in <strong>1973</strong> with one store in Bahrain and has grown into one of the largest retail and hospitality conglomerates in the <strong>Middle East, Africa, and India. </strong>Currently, the Group operates over<strong> 2,200 outlets, encompassing over 30 million square feet across 21 countries.</strong></p><p>Job Purpose</p><p>The Technical Architect is responsible for defining and guiding the technical and application architecture for enterprise solutions. The role translates business requirements into scalable, secure, and practical solution designs across applications, integrations, cloud platforms, data flows, and enterprise systems.</p><p><strong>Key Focus Areas:</strong></p><ul><li><strong>eCommerce Application Architecture</strong></li><li><strong>Solution Design</strong></li><li><strong>AI-Enabled Architecture Design</strong></li><li><strong>Cloud Platform and Security Enablement</strong></li><li><strong>Cross Domain Application Alignment</strong></li><li><strong>Infrastructure and Security Driven Application Design</strong></li><li><strong>Drive Innovation</strong></li></ul><p><br></p><p><strong>Job Description</strong></p><p><strong>eCommerce Application Architecture</strong></p><ul><li>Design end-to-end eCommerce application architectures across enterprise platforms, custom applications, SaaS solutions, cloud services, and digital systems.</li><li>Define application architecture standards, patterns, and best practices for modular design, service design, maintainability, scalability, performance, reliability, and supportability.</li><li>Guide teams on application structure, component design, technology selection, and alignment with enterprise architecture principles.</li><li>Ensure application designs support business capabilities, operational needs, security expectations, and long-term technology direction.</li></ul><p><strong>Application Solution Design</strong></p><ul><li>Translate business requirements into practical end-to-end technical designs and solution options.</li><li>Evaluate solution alternatives, identify technical risks, assess cost versus benefit, and recommend fit-for-purpose architecture decisions.</li><li>Create solution designs that consider applications, data flows, integrations, infrastructure, security, operations, and delivery constraints.</li><li>Provide technical guidance during delivery to ensure the implemented solution remains aligned with the approved design.</li></ul><p><strong>AI-Enabled Application Architecture</strong></p><ul><li>Identify practical opportunities to embed AI, automation, machine learning, and generative AI capabilities into enterprise applications and business processes.</li><li>Guide application teams on AI-enabled solution patterns, including intelligent search, document processing, recommendation engines, conversational interfaces, workflow automation, and decision support.</li><li>Ensure AI-enabled application designs consider data quality, privacy, security, access control, auditability, explainability, operational support, and responsible AI principles.</li><li>Work with data, integration, security, infrastructure, and platform teams to ensure AI solutions are properly connected to enterprise data, APIs, cloud services, and application platforms.</li><li>Support evaluation of AI tools, platforms, APIs, and vendor capabilities to determine fit-for-purpose use cases and enterprise adoption.</li><li>Ensure AI capabilities are designed as part of the application architecture, not as disconnected experiments or standalone proof of concepts.</li></ul><p><strong>Application Modernization</strong></p><ul><li>Support legacy application assessment, rationalization, modernization, and simplification initiatives.</li><li>Identify opportunities to reduce technical debt, remove duplication, consolidate platforms, and improve application maintainability.</li><li>Guide modernization approaches, including re-platforming, refactoring, replacement, cloud adoption, containerization, and service enablement.</li><li>Partner with business and technology teams to define practical transition states from the current architecture to the target architecture.</li></ul><p><strong>Infrastructure and Security Aware Application Design</strong></p><ul><li>Ensure application designs properly consider hosting, compute, storage, network, identity, access, security controls, performance, resilience, monitoring, backup, disaster recovery, and operational support requirements.</li><li>Work closely with infrastructure and security architects to align application designs with enterprise infrastructure, cloud, network, and security standards.</li><li>Incorporate security by design principles including identity and access management, role based access, encryption, secure APIs, data protection, vulnerability management, and compliance needs.</li><li>Validate that applications are designed for availability, scalability, observability, supportability, and production readiness.</li></ul><p><br></p><p><strong>Cloud and Platform Enablement</strong></p><ul><li>Guide the use of cloud services, enterprise platforms, DevOps practices, CI/CD, automation, environment strategy, and deployment patterns.</li><li>Support application teams in adopting cloud native and platform capabilities where they provide business and technical value.</li><li>Ensure cloud and platform choices are secure, scalable, cost effective, supportable, and aligned with enterprise standards.</li><li>Collaborate with platform, DevOps, infrastructure, and engineering teams to improve delivery speed, reliability, and operational maturity.</li></ul><p><strong>Cross Domain Application Alignment</strong></p><ul><li>Work closely with enterprise, integration, data, infrastructure, security, and platform architects to ensure application solutions are aligned across the broader technology landscape.</li><li>Ensure application designs properly address integration points, data movement, master data needs, reporting dependencies, security controls, infrastructure impact, and operational dependencies.</li><li>Maintain clear ownership boundaries with specialized architecture domains while ensuring end-to-end solution integrity.</li><li>Identify reuse opportunities across applications, platforms, services, APIs, and shared technical capabilities.</li></ul><p><strong>Architecture Governance &amp; Compliance Alignment</strong></p><ul><li>Work with the Architecture Review Board, enterprise architecture team, and domain architects to ensure application and technical solution designs follow approved architecture standards, principles, and governance processes.</li><li>Support architecture review submissions by preparing solution architecture documents, design diagrams, technical decision records, risk assessments, and required review materials.</li><li>Review application and technical designs for alignment with enterprise standards across application architecture, integration, data, infrastructure, security, cloud, and operational readiness.</li><li>Identify architecture risks, design gaps, technical debt, compliance concerns, and operational impacts early in the solution lifecycle.</li><li>Ensure application solutions consider security, privacy, data protection, resilience, disaster recovery, audit, and regulatory requirements in partnership with the relevant domain owners.</li><li>Track architecture decisions, exceptions, risks, and follow-up actions through the appropriate governance forums and delivery checkpoints.</li></ul><p><strong>Leadership &amp; Collaboration</strong></p><ul><li>Serve as subject matter expert and technical advisor for infrastructure and security initiatives</li><li>Mentor engineering teams on architecture principles, security best practices, and technology adoption</li><li>Collaborate with enterprise architects, application teams, and business stakeholders to align technical solutions with business needs</li><li>Lead architectural reviews, provide technical guidance, and resolve design conflicts</li><li>Stay current with industry trends, emerging threats, and innovative technologies</li></ul><p><strong>Documentation &amp; Knowledge Management</strong></p><ul><li>Create and maintain solution architecture documents, application architecture diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records.</li><li>Document key design decisions, architecture assumptions, technical risks, dependencies, exceptions, standards, reusable patterns, and open issues.</li><li>Maintain architecture artifacts required for Architecture Review Board reviews, delivery governance, production readiness, operational handover, and future system changes.</li><li>Document application design standards, technical patterns, operational guidelines, and support considerations in collaboration with architecture and engineering teams.</li><li>Conduct knowledge transfer sessions and capability building programs for engineering, product, delivery, and technical teams.</li></ul><p><br></p><p><strong>Knowledge, Skills &amp; Experience</strong></p><p><strong>Relevant Job Experience</strong></p><p><strong>Professional Experience</strong></p><ul><li>10 plus years of experience in application development, technical architecture, solution architecture, enterprise systems, or technology delivery roles.</li><li>5 plus years of experience in application architecture, technical solution design, or enterprise wide solution architecture.</li><li>Proven experience designing and delivering large scale enterprise applications in ecommerce.</li><li>Proven experience designing and delivering large scale enterprise application solutions across custom applications, SaaS platforms, cloud services, and packaged business systems.</li><li>Strong experience translating business requirements into end-to-end technical designs covering applications, data flows, integrations, infrastructure, security, cloud, and operations.</li><li>Experience working with Architecture Review Boards, enterprise architecture teams, and domain architects to review, govern, and align solution designs.</li><li>Strong background in application modernization, platform consolidation, cloud adoption, technical debt reduction, and legacy system rationalization.</li><li>Practical experience with cloud platforms such as Azure, AWS, or Google Cloud, including application hosting, deployment patterns, scalability, security, monitoring, and cost awareness.</li><li>Experience working with integration teams on APIs, middleware, event based flows, data exchange, and system interaction patterns.</li><li>Experience guiding engineering teams on application design, technical patterns, DevOps practices, CI/CD, automation, testing, deployment, and production readiness.</li><li>Retail, ecommerce, hospitality, supply chain, or enterprise business systems experience strongly preferred.</li></ul><p><strong>Technical Skills</strong></p><ul><li><strong>Application Architecture:</strong> Enterprise applications, custom platforms, SaaS solutions, packaged systems, modular design, service design, API first architecture, scalability, maintainability, and supportability.</li><li><strong>Solution Design:</strong> End to end technical design, solution options, architecture tradeoffs, risk assessment, cost versus benefit analysis, transition architecture, and implementation guidance.</li><li><strong>Hands on experience: </strong>real hands-on experience with one or more programing language like Java – Python – etc.</li><li><strong>Good to have:</strong> real working experience with any ecommerce platform like Broadleaf commerce – SAP commerce etc. <strong> </strong></li><li><strong>AI Enabled Architecture:</strong> Practical understanding of generative AI, machine learning enabled applications, AI APIs, intelligent search, automation, prompt enabled workflows, responsible AI, data privacy, model integration, and AI solution governance.</li><li><strong>Cloud Platforms:</strong> Azure, AWS, Google Cloud Platform, hybrid cloud, application hosting, cloud services, deployment patterns, cloud security, scalability, resilience, and cost optimization.</li><li><strong>Integration Design:</strong> REST APIs, event driven architecture, middleware, messaging, file based integrations, data exchange patterns, and system interaction models in partnership with the integration architect.</li><li><strong>Infrastructure Design</strong>: Hosting, compute, storage, networking, load balancing, application gateways, backup, disaster recovery, high availability, and operational support considerations.</li><li><strong>Security by Design:</strong> IAM, SSO, MFA, role based access, encryption, secure APIs, data protection, vulnerability management, application security, privacy, and compliance alignment.</li><li><strong>DevOps and Automation:</strong> CI/CD, release management, environment strategy, Azure DevOps, GitHub Actions, automated testing, deployment automation, and infrastructure as code awareness.</li><li><strong>Observability and Operations:</strong> Monitoring, logging, alerting, performance management, incident readiness, production support, operational handover, and service reliability.</li><li><strong>Architecture Documentation:</strong> Solution architecture documents, application diagrams, system context diagrams, data flow diagrams, deployment views, technical design documents, and architecture decision records.</li></ul><p><strong>Required Leadership Skills</strong></p><ul><li><strong>Strategic Thinking:</strong> Ability to translate business requirements into technical architecture and long-term infrastructure strategy</li><li><strong>Communication:</strong> Excellent verbal and written communication skills to articulate complex technical concepts to diverse audiences</li><li><strong>Problem Solving:</strong> Analytical mindset with the ability to troubleshoot complex infrastructure and security challenges</li><li><strong>Collaboration:</strong> Strong team player with experience working across organizational boundaries and with external partners</li><li><strong>Innovation:</strong> Forward-thinking approach to evaluating and adopting emerging technologies and methodologies</li></ul><p><br></p>

<p><strong>Hiring: SAS Decisioning / SAS Viya Professional</strong></p><p><br></p><p>We are looking for an experienced SAS Decisioning / SAS Viya professional with strong exposure to Credit Risk, Decision Management and MLOps.</p><p><br></p><p><strong>Experience:</strong> 3-5+ Years</p><p><strong>Role: </strong>SAS Decisioning / SAS Viya</p><p><strong>Domain: </strong>Banking / Financial Services</p><p><br></p><p>Key Requirements:</p><p>• 3+ years of hands-on experience with SAS platforms, preferably SAS Viya</p><p>• 3+ years of experience in Decision Engine configuration &amp; Decision Strategy implementation</p><p>• Experience in MLOps, Model Deployment, CI/CD, Model Monitoring or Production Scoring</p><p>• Strong experience in Credit Risk, Credit Origination, Lending or Risk Decisioning</p><p>• Experience supporting business-critical production systems</p><p>• Experience working in Agile environments</p><p>• Bachelors degree in Computer Science, Engineering, Statistics, Mathematics, Data Science or related field</p><p>• SAS, DevOps, Data Engineering or MLOps certifications are an added advantage</p>

<p><strong>Role: Business Analyst</strong></p><p><strong>Location: Dubai</strong></p><p><strong>Exp: 5+year</strong></p><p><strong>Notice Period: Immediate</strong></p><p><br></p><p><strong>Primary Skills:</strong></p><p>Business analyst, Requirement gathering, Analysis, Basic SQL query building and execution, API execution via postman / SoapUI</p><p><br></p><p><strong>Job Description:</strong></p><p>• Experience in iLoyal (Loyalty management platform) is a must</p><p>• Experience in Requirements gathering and analysis and creation of associated deliverables</p><p>• Familiar with Business Analysis Methodologies - Eg: Agile Methodologies like Scrum/Kanban and tools such as JIRA, Confluence, Miro, Visio, or Azure DevOps</p><p>• Experience in User Acceptance Testing and end-to-end testing cycles</p><p>• Experience in interacting with Vendors</p><p>• Experience in defining the Business Scope for RFI/RFP process</p><p>• Experience in handling IT Support issues raised by Business &amp; follow up of issues raised with internal IT &amp; Vendor</p><p>• Experience in process mapping (e.g., use case diagrams, data flow diagrams, swimlanes).</p>

<p><strong><u>Job Responsibilities:</u></strong></p><p><br></p><p><strong>Cloud infrastructure</strong></p><ul><li>Design, provision and manage cloud environments on AWS/Azure (compute, networking, storage, IAM, databases).</li><li>Build and maintain infrastructure as code using Terraform, CloudFormation or similar.</li><li>Manage VPCs, subnets, load balancers, DNS, VPNs and firewall rules.</li><li>Set up, manage, back up and restore PostgreSQL and MySQL databases.</li><li>Work with co-located and hosted infrastructure in financial data centres to keep latency low.</li><li>Handle day-to-day operations of the production infrastructure.</li><li>Manage DNS for all group brands and domains using Cloudflare, including DNS records, SSL/TLS certificates, WAF rules, DDoS protection, rate limiting, page rules and caching for client portals and websites.</li><li>Optimise cloud costs through right-sizing, reserved capacity and tagging policies.</li><li>Lead incident response for production operations.</li><li>Maintain clear runbooks, architecture diagrams and documentation.</li></ul><p><strong>Automation</strong></p><ul><li>Build and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions or Azure DevOps).</li><li>Containerise applications with Docker and run them on Kubernetes (EKS).</li><li>Automate repetitive operational tasks with Bash, Python or PowerShell.</li></ul><p><strong>Monitoring and reliability</strong></p><ul><li>Set up monitoring, logging and alerting (CloudWatch, Datadog).</li><li>Take part in an on-call rotation; troubleshoot and resolve production incidents.</li><li>Write post-incident reviews and drive fixes to prevent recurrence.</li><li>Implement backup, disaster recovery and high-availability strategies.</li></ul><p><strong>Security and compliance</strong></p><ul><li>Apply security best practices: least-privilege IAM, secrets management, patching and hardening.</li><li>Support vulnerability scanning and audit or compliance requirements (e.g. ISO 27001, SOC 2).</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with developers, QA and security teams to improve delivery and stability.</li></ul><p><br></p><p><strong><u>Required skills:</u></strong></p><ul><li>3-4 years of hands-on experience in CloudOps, DevOps or infrastructure roles.</li><li>Strong working knowledge of at least one major cloud platform (AWS, Azure or GCP).</li><li>Practical experience with Terraform or another infrastructure-as-code tool.</li><li>Hands-on experience with Docker and Kubernetes in production.</li><li>Hands-on experience with MySQL/PostgreSQL database setup, access management, backup and restore, and data engineering.</li><li>Experience building CI/CD pipelines with tools such as Jenkins, GitLab CI or GitHub Actions.</li><li>Solid Linux administration skills and working knowledge of Windows Server.</li><li>Scripting skills in Python and Bash.</li><li>Good understanding of networking: TCP/IP, DNS, HTTP/S, load balancing, VPN and firewalls.</li><li>Experience with monitoring and logging tools (e.g. CloudWatch, Datadog).</li><li>Comfortable with Git and Git-based workflows.</li><li>Understanding of Snowflake data warehousing, with the ability to help improve data quality and controls across data processes.</li></ul><p><br></p><p><strong><u>Preferred Qualifications:</u></strong></p><ul><li>Cloud certifications such as AWS Solutions Architect / SysOps Associate, Azure Administrator (AZ-104) or CKA.</li><li>Configuration management with Ansible, Chef or Puppet.</li><li>Exposure to multi-cloud or hybrid (on-premise + cloud) environments.</li><li>Familiarity with FinOps practices and cloud cost tooling.</li><li>Experience in regulated industries such as CFD brokerage or fintech.</li></ul><p><br></p><p><strong>Soft skills</strong></p><ul><li>Clear written and verbal communication with technical and non-technical teams.</li><li>Ownership: follows tasks through to completion and document the work.</li><li>Eagerness to learn new tools and improve existing processes.</li></ul>

<p><strong>Digital Technology Director</strong></p><p>Onsite | Dubai or Abu Dhabi | Full Time</p><p><br></p><p>Create. is a strategic, digital creative communications agency that partners with the region’s nation builders as well as some of the most exciting local and global brands. Now part of the Stagwell network, we were named Campaign Magazine’s Digital Agency and Independent Creative Agency of the Year, and Adweek recognised us as one of the fastest-growing creative agencies globally.</p><p><br></p><p>We’re looking for a Digital Technology Director to be the senior technology authority across Create DX, our digital experience practice. Reporting to the Head of DX, you’ll lead the architecture, engineering, QA automation, DevOps and AI enablement behind web, app, CMS and platform builds for major government, culture and tourism clients. You’ll also help set technology standards across the wider Create group.</p><p><br></p><p>This is a leadership role where you stay close to the work. Client IT teams will trust you to make big platform decisions and defend them, and our engineers will come to you when builds get complex. You sign off the technical architecture and engineering assumptions before we make any commercial commitment.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>Act as the senior technical partner to client IT, data and product teams, leading discovery, architecture definition, integration strategy and solution workshops</p><p>Set and maintain standards across CMS, frameworks, cloud infrastructure, APIs, analytics, hosting and deployment, with clear governance for DevSecOps, documentation and risk</p><p>Drive automation across CI/CD, regression testing, QA and environment management, and build reusable frameworks and component libraries</p><p>Lead technical scoping, estimation and risk evaluation on new and existing business</p><p>Select, onboard and manage development, cloud, AI and infrastructure partners</p><p>Pilot AI, composable and headless architecture, and guide clients and developers on using AI responsibly</p><p>Mentor engineering and delivery teams, and help us hire and grow technical talent</p><p><br></p><p><strong>What We’re Looking For</strong></p><p>Based in Dubai or Abu Dhabi, available onsite full time from Q4 2026</p><p>10+ years in technology leadership at digital agencies, consultancies or technology-led organisations, covering cloud architecture, engineering, DevOps and QA automation</p><p>A track record of owning technical governance and vendor relationships across multiple accounts or brands</p><p>Strong command of modern web, app and CMS architecture, cloud infrastructure and integration strategy</p><p>Hands-on experience guiding AI-enabled delivery and automation adoption</p><p>The ability to explain technical trade-offs as clear business implications for C-suite stakeholders</p><p>MENAT market experience preferred</p><p>Professional fluency in English; Arabic is a plus</p><p><br></p><p><strong>What Success Looks Like</strong></p><p>Client IT and product teams see you as a trusted transformation partner, and technical escalations drop</p><p>Products launch secure, scalable and fast, with very few issues after launch</p><p>Engineering gets faster and estimates get more accurate through automation, governance and reusable frameworks</p><p>AI-ready platforms and innovation pilots move from proof of concept to everyday practice</p><p><br></p><p>We think without borders, so that everyone can belong.</p><p> Apply now if you’re ready to lead the technology behind Remarkable Works. Include your CV.</p>

<p>We are looking for an experienced <strong>ML Engineer (MLOps)</strong> to take machine learning models and AI pipelines from proof of concept to scalable, reliable production deployment.</p><p>In this hands-on role, you will be responsible for deploying, monitoring, and optimizing machine learning solutions across cloud and edge environments. You will work closely with Data Scientists, Software Engineers, DevOps teams, and Product Managers to deliver robust, efficient, and production-ready AI solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Model Deployment:</strong> Deploy machine learning models and AI pipelines from development and proof of concept into production, ensuring scalability, reliability, and performance through CI/CD integration and orchestration.</li><li><strong>Monitoring and Maintenance:</strong> Implement monitoring, evaluation, and maintenance strategies to maintain model accuracy, reliability, and performance in production.</li><li><strong>Model Optimization:</strong> Optimize models for inference speed and resource efficiency using techniques such as quantization, pruning, and knowledge distillation, particularly for edge and cloud deployment.</li><li><strong>Data Preparation:</strong> Perform data collection, cleaning, preprocessing, and feature engineering to prepare high-quality datasets for model training.</li><li><strong>Model Training and Tuning:</strong> Develop continuous or semi-continuous training and evaluation workflows, fine-tune models, and maintain model performance over time.</li><li><strong>MLOps and Automation:</strong> Contribute to automated ML pipelines, model lifecycle management, and reproducible workflows using appropriate MLOps tools.</li><li><strong>Cross-functional Collaboration:</strong> Work with Data Scientists, Software Engineers, DevOps teams, and Product Managers to translate business and technical requirements into reliable ML solutions.</li><li><strong>Documentation:</strong> Maintain clear documentation of code, models, deployment workflows, and operational processes.</li></ul><p><br></p><p><strong>Required Qualifications and Experience</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or a related field.</li><li><strong>5–9 years of relevant professional experience</strong> in machine learning engineering or related roles.</li><li>Strong proficiency in Python and experience with ML libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.</li><li>Practical knowledge of machine learning model deployment, containerization, and orchestration using Docker and Kubernetes.</li><li>Experience with SQL and NoSQL databases.</li><li>Familiarity with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).</li><li>Experience with MLOps tools such as MLflow, ClearML, Azure Machine Learning, or AWS SageMaker.</li><li>Strong understanding of deep learning, reinforcement learning, and other machine learning techniques.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience deploying computer vision models to edge devices or resource-constrained environments.</li><li>Familiarity with infrastructure-as-code tools and observability platforms.</li><li>Experience with model optimization, GPU acceleration, or distributed computing.</li><li>Contributions to open-source computer vision projects or relevant technical publications.</li></ul><p><br></p><p><strong>Technical Environment</strong></p><p><strong>Programming and ML:</strong> Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, OpenCV, FastAPI.</p><p><strong>Deployment and CI/CD:</strong> Docker, Kubernetes, GitLab CI/CD.</p><p><strong>MLOps and Distributed Computing:</strong> MLflow, Kubeflow, Ray, ClearML.</p><p><strong>Cloud:</strong> AWS, Azure, GCP.</p><p><strong>Databases:</strong> PostgreSQL, MySQL, MongoDB, Elasticsearch, Neo4j.</p><p><strong>Deep Learning:</strong> CNNs, LSTMs, GANs, Transformers, and LLMs.</p><p><strong>Messaging and GPU Computing:</strong> RabbitMQ, Kafka, CUDA, RAPIDS, Numba.</p><p><br></p><p>If you have strong hands-on experience deploying and operating machine learning models in production, we would love to hear from you.</p>

<p><strong><u>Position Summary:-</u></strong></p><p>We are seeking a seasoned and highly analytical Senior Database Support Engineer to ensure the performance, availability, and security of our database environments across MySQL, PostgreSQL and NoSQL platforms. The ideal candidate combines deep technical expertise with strong troubleshooting ability and is confident supporting Development, Infrastructure, DevOps and Data/Analytics teams in a fast-paced production environment.</p><p><br></p><p>This role requires someone who can resolve complex production issues, drive root cause analysis, and support modern data platforms, while keeping database operations stable, secure and compliant.</p><p><br></p><p>Employment Type: Full-time/Onsite</p><p>Coverage: Extended-hours / on-call rotation across multiple regional markets</p><p><br></p><p><strong><u>Key Responsibilities:-</u></strong></p><ul><li>Provide database support to Development, Infrastructure, DevOps, and Data/Analytics teams across MySQL, PostgreSQL, and NoSQL (MongoDB, Couchbase) environments</li><li>Act as Level 2 escalation for database-related production incidents; lead root cause analysis (RCA) and drive corrective/preventive actions to closure</li><li>Install and configure MySQL (InnoDB and NDB Cluster storage engines), set up and maintain replication, and resolve replication issues</li><li>Review, validate, and advise on schema changes, stored procedures, functions, and triggers submitted by development teams; guide developers on query and indexing optimization</li><li>Monitor database health, performance, capacity, and availability; proactively identify risks and apply corrective actions, including configuration tuning and workload analysis</li><li>Support and maintain MinIO/S3-compatible object storage — bucket management, access policies, lifecycle rules, and integration with data pipelines and archival processes</li><li>Support data lakehouse environments integrating relational databases, object storage, and query engines (Apache Spark, Apache Iceberg, Dremio, Trino); assist Data/Analytics teams with ingestion, transformation, and archival workloads</li><li>Implement and maintain database security controls — access management, privileges, authentication, and encryption; perform regular audits, integrity checks, and access reviews</li><li>Execute and validate backup and recovery procedures; support BC/DR planning, testing, and contingency activities</li><li>Review and support database changes across Dev, Test, Pre-Production, and Production environments per change management procedures</li><li>Maintain documentation of configurations, support procedures, change records, and operational runbooks aligned to organisational standards</li></ul><p><br></p><p><strong><u>Qualifications &amp; Experience:-</u></strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>6 + years of combined experience in database development and/or database support roles.</li><li>Strong proficiency in developing stored procedures, functions, triggers, and ETL processes.</li><li>Strong expertise in configuring and maintaining database software across production and non-production environments.</li><li>Expertise in MySQL and PostgreSQL databases.</li><li>Expertise in MongoDB or Couchbase databases.</li><li>Expertise in implementing and managing Redis caching solutions.</li><li>Hands-on experience with MinIO or S3-compatible object storage — bucket management, access policies (IAM), lifecycle rules, and data archival integration.</li><li>Knowledge of data lakehouse concepts and tooling — Apache Iceberg / Delta Lake table formats, query engines such as Dremio, Trino, or Apache Spark, and metadata catalogue services (e.g., Project Nessie).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Knowledge of data warehouse technologies.</li><li>Experience in performance tuning and optimisation.</li><li>Good knowledge of backup and recovery procedures.</li><li>Knowledge of programming languages such as Python or JavaScript.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Ability to work collaboratively in a team environment.</li><li>Strong communication skills</li></ul><p><br></p>

<strong>About The Role<br><br></strong>We are hiring a Senior Python Engineer to design, build and run scalable backend systems that power data driven applications. You will develop secure, high performance APIs and microservices, build backend services that serve datasets efficiently, and own data transformation pipelines from ingestion to delivery. This role suits an engineer who writes clean production code and also takes ownership of how that code is tested, deployed and run in production.<br><br><strong>Key Responsibilities<br><br></strong><em>Backend and API Development<br><br></em><ul><li>Design, develop and maintain RESTful APIs and microservices using Python (FastAPI, Flask, Django)</li><li>Build asynchronous, high concurrency services using asyncio, and optimise I/O operations for performance</li><li>Design and maintain scalable internal web frameworks and take them to production</li><li>Work with front end teams to integrate user facing features with server side logic</li><li>Write clean, efficient, well documented code that follows coding standards<br><br></li></ul><em>API Security<br><br></em><ul><li>Implement authentication, authorisation and encryption across microservices</li><li>Secure APIs using OAuth 2.0, JWT and API gateways<br><br></li></ul><em>Data Access and Database Management<br><br></em><ul><li>Build backend systems that serve datasets through APIs and other interfaces</li><li>Implement data access layers using ORMs such as SQLAlchemy and Django ORM (models, CRUD, querying, transactions)</li><li>Design and optimise database schemas for relational and NoSQL stores</li><li>Tune query and database performance for fast, reliable data retrieval<br><br></li></ul><em>Data Transformation and ETL<br><br></em><ul><li>Design and maintain ETL pipelines to extract, clean, aggregate and enrich data</li><li>Ensure data integrity, quality and consistency across all transformation processes</li><li>Work with big data and streaming technologies such as Spark, Kafka and Hadoop<br><br></li></ul><em>Engineering Practices and DevOps<br><br></em><ul><li>Build and maintain CI/CD pipelines for automated testing and deployment</li><li>Write unit and integration tests and debug production issues using logging and profiling tools</li><li>Use Git for version control, branching, code reviews and pull requests</li><li>Produce clear technical documentation and contribute to code reviews<br><br></li></ul><strong>Required Skills And Qualifications<br><br></strong><ul><li>Bachelor's degree in Computer Science, Information Technology or a related field</li><li>5+ years of professional experience in Python backend development</li><li>Strong hands on experience with FastAPI and/or Flask, plus working knowledge of Django</li><li>Proven experience with asyncio and concurrent programming</li><li>Solid understanding of microservices architecture</li><li>Experience securing APIs with OAuth, JWT and API gateways</li><li>Strong SQL skills and experience with SQLAlchemy or Django ORM</li><li>Experience with relational (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB, Redis, Cassandra) databases</li><li>Experience building ETL or data transformation pipelines</li><li>Familiarity with big data technologies (Spark, Kafka, Hadoop) and data warehousing concepts</li><li>Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)</li><li>Proficiency in Shell scripting</li><li>Strong Git and collaborative development experience</li><li>Strong problem solving skills and attention to detail</li><li>Excellent communication skills with technical and business stakeholders<br><br></li></ul><strong>Preferred Skills<br><br></strong><ul><li>Experience with cloud platforms (AWS, Azure or GCP)</li><li>Containerisation and orchestration with Docker and Kubernetes</li><li>Knowledge of data governance, compliance and data security best practices</li><li>Experience in banking, fintech or other regulated environments</li></ul>

<strong>Position: Back-End Developer<br><br></strong><strong>Requirements<br><br></strong><ul><li>Develop, troubleshoot, and debug microservices</li><li>Manage cutting-edge technologies to improve legacy services</li><li>Collaborate with DevOps engineers to develop microservices</li><li>Gather and address technical requirements</li><li>Provide training and support to internal teams</li><li>Build reusable code and libraries for future use</li><li>Typescript and OOP experience is a must</li><li>Follow emerging technologies</li><li>Teamwork skills with a problem-solving attitude</li><li>Strong organizational skills to manage multiple tasks and meet deadlines</li><li>Excellent analytical and time management skills<br><br><br></li></ul><strong>Required Skills<br><br></strong><ul><li>Azure Platform</li><li>Git</li><li>Cloud Messaging Services </li><li>Event Driven Development (EDD)</li><li>Microservice Architecture</li><li>MongoDB</li><li>NestJS</li><li>NodeJS</li><li>OOP</li><li>TypeScript</li><li>Websocket <br><br><br></li></ul><strong>Preferred Skills<br><br></strong><ul><li>Azure Service Bus</li><li>Financial Transactions </li><li>PubSub<br><br><br></li></ul>About the Role:<br><br><ul><li>Location: Dubai, Business Bay, Opus Tower</li><li>Working Time: Monday to Friday 10:00 am to 7:00 pm, Saturday 10:00 am to 2:00 pm, Sundays off<br></li></ul>

<p>Software Engineering</p><p>Full Stack</p><ul><li>Degree in a relevant field such as Computer Science, Computer Engineering or Software Engineering.</li><li>Experience of developing advanced/Complex technology Software solutions for large, complex organisations in a multi-functional environment.</li><li>Solid experience in data modelling, systems design and expert coder in the technology listed in the skills category</li><li>Experience in providing production support for business solutions using ITIL framework</li><li>Deep experience in Full stack development capabilities covering all layers ( i.e UI/Middleware and</li></ul><p>Databases)</p><ul><li>Expert in Technology technical evaluation, vendor selection and technology vendor management</li></ul><p>using data driven models</p><ul><li>Implementation of contemporary engineering practices like lean software development, test driven</li></ul><p>development, continuous integration and continuous deployment</p><ul><li>Establishing and managing leveraging technology platforms for DevOps, Code Management, Testing,</li><li>Continuous Integration and Continuous Deployment for ensuring robust and reliable code base is always</li></ul><p><br></p>

<p>Job Description</p> <br> <p>The Senior MLOps Engineer is responsible for operationalising and maintaining machine learning, Generative AI, and agent-based solutions in production. The role focuses on ensuring that AI services are deployed through controlled pipelines, monitored continuously, tested systematically, and operated with the reliability, security, scalability, and cost discipline required for enterprise use.</p> <p>Working under the Principal ML Platform Engineer, the role provides the operational discipline required to move AI solutions from experimentation into stable production service. This includes managing CI/CD, versioning, observability, model and agent monitoring, automated testing, incident response, release controls, and performance reporting. The Senior MLOps Engineer is expected to identify failures or degradation early, strengthen production runbooks, and continuously improve the effectiveness and resilience of deployed AI systems. Alongside this specialism, every engineer in the Strategy and Data team is expected to own use cases end-to-end, taking them from problem definition through to a deployed, adopted solution.</p> <p> </p> <p>Responsibilities and Duties</p> <br> <ul> <li>Design, build, and maintain production-grade MLOps pipelines covering deployment, release management, monitoring, automated testing, versioning, rollback, retraining support, and decommissioning.</li> <li>Establish and operate CI/CD pipelines for machine learning, Generative AI, and agent-based workloads using appropriate enterprise tooling such as Azure DevOps, GitHub, GitLab CI, Jenkins, or equivalent platforms.</li> <li>Package, containerise, deploy, and maintain models, APIs, AI agents, RAG workflows, and inference services across controlled development, test, staging, and production environments.</li> <li>Implement automated testing for model services, prompts, agent workflows, APIs, data dependencies, deployment packages, and release gates to reduce production risk and improve service reliability.</li> <li>Monitor model, agent, and service performance, including latency, throughput, error rates, hallucination or response-quality signals, drift indicators, data quality issues, dependency failures, and user-impacting incidents.</li> <li>Develop observability dashboards, alerts, logs, traces, and health checks that provide early warning of failures, degradation, cost anomalies, security risks, or operational instability.</li> <li>Maintain model and agent versioning, artifact repositories, configuration records, environment definitions, dependency controls, and release documentation to support reproducibility and auditability.</li> <li>Support production incident management for AI services, including triage, root-cause analysis, remediation, escalation, post-incident review, and preventive improvement actions.</li> <li>Prepare clear performance and operational reporting covering service health, reliability, release quality, incident trends, utilisation, cost, and improvement actions for technical and management stakeholders.</li> <li>Monitor cloud and AI service consumption, identify cost drivers, recommend optimisation opportunities, and support capacity planning for production AI workloads.</li> <li>Work with AI engineers, data engineers, software engineers, IT, and security teams to ensure deployments follow approved architecture, security, privacy, responsible AI, and governance standards.</li> <li>Support integration between Snowflake, Microsoft Azure, data pipelines, vector stores, model services, agent orchestration layers, monitoring tools, and downstream enterprise applications.</li> <li>Maintain operating procedures, runbooks, release checklists, escalation paths, environment standards, and reusable deployment templates to strengthen the organisation s production AI capability.</li> <li>Continuously improve the stability, scalability, security, and effectiveness of production AI systems, ensuring that deployed solutions remain aligned with business priorities and operational needs.</li> <li>Take assigned use cases through each stage, from framing the problem with business stakeholders and preparing data, to building, evaluating and deploying the solution and tracking its adoption and value, working within the team's architecture and engineering standards.</li> </ul> <br> <p>Knowledge, Skills and Experience</p> <br> <ul> <li>8+ years of relevant experience across MLOps, DevOps, platform engineering, data engineering, software engineering, or machine learning engineering, with direct exposure to production AI, analytics, or data services.</li> <li>Strong practical experience with Python, SQL, Git/GitHub, MLflow, Azure AI Foundry, Snowflake/Snowpark, Docker, Kubernetes, FastAPI, Airflow, Azure Data Factory, Azure Data Lake, Azure Container Apps, Microsoft Azure, Entra ID, Key Vault, Private Link, Terraform, REST APIs, Linux environments, cloud deployment patterns, and production support practices.</li> <li>Demonstrated experience operating CI/CD pipelines, release controls, branching strategies, pull requests, automated testing, artifact management, environment promotion, and rollback processes.</li> <li>Hands-on experience deploying and operating containerised AI services using Kubernetes, Azure Kubernetes Service, Azure App Service, Azure Functions, or equivalent platforms.</li> <li>Practical knowledge of Microsoft Azure services relevant to AI and MLOps, including Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure Monitor, Application Insights, Log Analytics, Key Vault, Storage, and networking controls.</li> <li>Experience with Snowflake or equivalent cloud data platforms, including integration with model training, inference services, feature access, orchestration layers, and downstream applications.</li> <li>Familiarity with MLOps and LLMOps practices such as MLflow, model registries, experiment tracking, model artifact management, prompt evaluation, agent monitoring, vector stores, embeddings, and RAG workflow operations.</li> <li>Strong understanding of observability, including metrics, logs, traces, alerts, service-level indicators, drift monitoring, model degradation, inference latency, throughput, error rates, and retraining triggers.</li> <li>Experience supporting Generative AI or agent-based solutions preferred, including prompt and response evaluation, orchestration monitoring, tool-use tracking, guardrail monitoring, and endpoint management.</li> <li>Strong understanding of secure engineering practices, including identity and access management, secrets management, private endpoints, vulnerability management, dependency control, secure API deployment, and environment isolation.</li> <li><br></li></ul> <p> </p> <p> </p><p><strong>Desired Candidate Profile</strong></p><ul> <li>8+ years of relevant experience across MLOps, DevOps, platform engineering, data engineering, software engineering, or machine learning engineering, with direct exposure to production AI, analytics, or data services.</li> <li>Strong practical experience with Python, SQL, Git/GitHub, MLflow, Azure AI Foundry, Snowflake/Snowpark, Docker, Kubernetes, FastAPI, Airflow, Azure Data Factory, Azure Data Lake, Azure Container Apps, Microsoft Azure, Entra ID, Key Vault, Private Link, Terraform, REST APIs, Linux environments, cloud deployment patterns, and production support practices.</li> <li>Demonstrated experience operating CI/CD pipelines, release controls, branching strategies, pull requests, automated testing, artifact management, environment promotion, and rollback processes.</li> <li>Hands-on experience deploying and operating containerised AI services using Kubernetes, Azure Kubernetes Service, Azure App Service, Azure Functions, or equivalent platforms.</li> <li>Practical knowledge of Microsoft Azure services relevant to AI and MLOps, including Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure Monitor, Application Insights, Log Analytics, Key Vault, Storage, and networking controls.</li> <li>Experience with Snowflake or equivalent cloud data platforms, including integration with model training, inference services, feature access, orchestration layers, and downstream applications.</li> <li>Familiarity with MLOps and LLMOps practices such as MLflow, model registries, experiment tracking, model artifact management, prompt evaluation, agent monitoring, vector stores, embeddings, and RAG workflow operations.</li> <li>Strong understanding of observability, including metrics, logs, traces, alerts, service-level indicators, drift monitoring, model degradation, inference latency, throughput, error rates, and retraining triggers.</li> <li>Experience supporting Generative AI or agent-based solutions preferred, including prompt and response evaluation, orchestration monitoring, tool-use tracking, guardrail monitoring, and endpoint management.</li> <li>Strong understanding of secure engineering practices, including identity and access management, secrets management, private endpoints, vulnerability management, dependency control, secure API deployment, and environment isolation.</li> <li>Knowledge of responsible AI, data privacy, model governance, auditability, human oversight, and regulated-environment controls, preferably in healthcare, insurance, financial services, or another compliance-sensitive sector.</li> <li>Experience with infrastructure as code, automation scripting, and configuration management tools such as Terraform, Bicep, ARM templates, Ansible, or similar tools preferred.</li> <li>Ability to investigate incidents, identify root causes, assess operational risk, communicate technical findings clearly, and drive practical remediation actions.</li> <li>Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related discipline.</li> <li>Relevant certifications in cloud engineering, DevOps, MLOps, data engineering, cybersecurity, or machine learning preferred.</li> <li>Strong analytical, documentation, stakeholder management, and communication skills, with the ability to translate production performance, risks, and improvement priorities into clear management reporting.</li> </ul>

<ul><li>7+ years on Dynamics 365 / Dataverse, with at least two end-to-end Customer Service implementations as technical lead (cases, queues, unified routing, SLA KPIs, knowledge base, Customer Voice surveys)</li><li>Hands-on across the stack: model-driven apps, plugins/Custom APIs (C#), Power Automate, PCF/JavaScript web resources, Dataverse security model (business units, teams, roles)</li><li>Solution-layering and ALM in a multi-vendor environment: managed solutions, publisher conventions, Azure DevOps pipelines, environment strategy , able to build on another vendors base solution without breaking it</li><li>Integration design through Azure API Management: OIDC/UAE PASS-style identity, REST/OData, async patterns, contract testing against third-party releases</li><li>Data migration into Dataverse (SSIS/KingswaySoft or equivalent), including migration from on-premises Dynamics</li><li>Certification: PL-400 Power Platform Developer; PL-600 Solution Architect or MB-230 Customer Service strongly preferred</li><li>Arabic/English bilingual UI and data (RTL, language packs, translated option sets)</li></ul>

<ul><li>Design and implement robust database schemas and data models that support complex application requirements and future scalability.</li><li>Develop, optimize, and maintain high-performance SQL queries, stored procedures, and functions to ensure efficient data retrieval and manipulation.</li><li>Administer and manage database systems, including installation, configuration, patching, and upgrades, ensuring optimal uptime and performance.</li><li>Implement and manage comprehensive backup, recovery, and disaster recovery strategies to safeguard critical data against loss.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3–7+ years of hands-on experience with Informatica tools Strong experience in ETL development, data integration, data quality, and metadata management Proven track record in implementing data pipelines, data migration, and data warehousing solutions Experience working in Agile or DevOps environments is required</p><br><p>Informatica PowerCenter Informatica Data Quality (IDQ) Informatica PowerExchange Strong knowledge of SQL and PL/SQL Experience with Oracle and MSSQL Server databases Unix/Linux shell scripting Familiarity with data modeling tools such as Erwin or Visio</p>

<br><p>The purpose of the job is to use the required programming language to write, update and maintain programs to handle specific tasks.</p><p><br></p><p><br></p><p><strong>Responsibilities</strong></p><p><br></p><p><br></p><ul><li>Design, develop, and maintain Java-based applications (often using frameworks like Spring Boot or Hibernate)</li><li>Write clean, scalable, and well-documented code</li><li>Implement RESTful APIs and microservices</li><li>Translate business requirements into technical solutions</li><li>Participate in CI/CD pipelines using tools like Jenkins or GitLab</li><li>Deploy applications to environments (Dev, QA, UAT, Prod)</li><li>Work with containerization tools like Docker and orchestration like Kubernetes</li><li>Ensure smooth release cycles and rollback strategies</li><li>Design and optimize database queries (SQL/NoSQL)</li><li>Work with databases such as Postgres, Oracle Database, or MongoDB</li><li>Perform data migrations and ensure data integrity</li><li>Optimize performance (indexes, query tuning)</li><li>Work closely with QA, DevOps, business analysts, and stakeholders</li><li>Participate in Agile ceremonies (Scrum, stand-ups, sprint planning)</li><li>Review code (peer reviews, pull requests)</li><li>Document technical designs and APIs</li></ul><p><br></p><p><br></p><p><br></p>

<p>Job Purpose </p><p>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better . Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world s largest international airline and become a vital part of our cutting-edge information and technology team as Technical Manager DevSecOps Platform</p> <p>Join our DevSecOps and Automation team as a key technologist driving DevSecOps and Automation practices at both the product and program levels in this pivotal role you will be instrumental in designing implementing and optimizing our DevOps strategies to enhance efficiency scalability and reliability across our technology landscape Your expertise will help us streamline operations reduce time to market and continuously improve our processes. If you are passionate about leveraging the latest DevOps tools and methodologies to drive innovation and excellence we invite you to apply to play a crucial role in shaping the future of our technology initiatives at Emirates Group.</p> <p>As a Technical Manager DevSecOps Platform, you will manage the technical lifecycle of the relevant technologies and services under the technical manager responsibilities. Design, engineer, plan, implement, operate and support each technology, ensuring they meet business requirements and comply with corporate policy and standards. Provide documented operational processes and procedures for 1st and 2nd level operational support groups, as well as act as a centre of excellence and 3rd level support for the respective technologies. Ensure the respective technologies have optimum capacity and availability to meet the existing and future needs of the business. Manage and minimize risks within the respective technologies.<br> </p> <p> <strong>In this role you will:</strong> </p> <ul> <li>Define KPI s for the teams in line with departmental goals and objectives. Consistently meet or exceed agreed KPI s. Ensure all communications, reports and updates are accurate and consistently delivered in a timely manner. </li> <li>Ensure technologies comply with corporate security policies and procedures and all audit observations, risks and/or exceptions are identified and positively managed. Ensure all security and other operating system patches are promptly identified, reviewed, and assessed for their impact on the relevant environment and accordingly implemented on the relevant technologies. </li> <li>Responsible for providing 3rd level support for the relevant technology environment to the Incident and the Problem Management teams ensuring efficient root cause analysis is provided and avoiding reoccurrence of incidents. </li> <li>Collaborate closely with all IT teams to deliver products and services that contribute to the organization growth. </li> <li>Responsible for setting clear and consistent performance objectives, implementing performance management and development plans to ensure standards of performance and productivity are achieved and maintained enabling a high-performance culture. Manage the technical expertise within the team so that resources are appropriately and effectively allocated. Assign suitably qualified resources to projects to support the ongoing IT work programme. </li> <li>Identify and develop needed products or services by creating Business Cases, conducting RFT s and coordinating with various stakeholders inside IT as well as other departments. </li> <li>Develop and effectively manage the team and technology budgets. Manage total cost of ownership of products and services within the respective technologies ensuring costs are identified, defined and reported, to enable businesses to make informed financial decisions, positively contribute to the process of cost control and provide financial transparency. </li> <li>Work closely with teams responsible for vendor management and vendor contract negotiations, to ensure SLA s are monitored and managed and contracts are seen to be value for money. </li> <li>Provide technical consultancy and guidance to the team members and technical manager of other technologies, enterprise architects, and project teams. Providing technical expertise to the enterprise architecture team for defining architecture strategy and standards and design the relevant technologies accordingly. </li> <li>Identify areas of improvement in existing technologies including end of life technology replacement and evaluation of new relevant technologies within the relevant environment in accordance with industry trends. Drive projects through assigned project managers.</li> </ul><p><strong>Desired Candidate Profile</strong></p><p> <strong>To be considered for the role, you must meet the below requirements:</strong> </p> <ul> <li>Degree in Computer Science, Information Technology, Engineering or a related discipline (12+3 or equivalent).</li> <li>8+ years of technology experience in DevOps or DevSecOps environments.</li> <li>5+ years leading DevSecOps adoption, with hands-on expertise in GitLab CI/CD, Argo CD, Wiz, SonarQube, Nexus Pro, Vault, Liquibase and Dynatrace.</li> <li>Proven experience defining SRE strategy and practices for critical services, including SLIs, SLOs, error budgets, incident management and full-stack observability.</li> <li>Deep expertise in Kubernetes platforms, including OpenShift, AWS EKS and Azure AKS.</li> <li>Strong knowledge of hybrid and multi-cloud architecture across AWS, Azure and GCP.</li> <li>Advanced skills in Infrastructure as Code, automation and Internal Developer Platforms with self-service tooling and standardised deployment patterns.</li> <li>Broad understanding of enterprise infrastructure: networking, operating systems, hypervisors, storage, backup, databases, security and mainframe.</li> <li>Working knowledge of AI-enabled engineering (MCP, agentic AI, prompt and context engineering, vector databases).</li> <li>Familiarity with ITIL processes, architecture governance and IT cost management.</li> <li>Relevant certifications (e.g. CKA/CKS, AWS, Azure or GCP professional level) are advantageous.</li> </ul> <p> <br> <strong>Leadership Role: </strong>Yes </p>

<br><p>Manage<strong> AWS & Azure environments</strong> across Dev, SIT, UAT, and Production.</p><p>Build and automate infrastructure using <strong>Terraform, Terragrunt, and # Infrastructure as Code (IaC)</strong>.</p><p>Develop secure <strong>CI/CD pipelines </strong>using Jenkins, GitHub Actions, Helm, and Argo CD.</p><p>Manage Kubernetes clusters (EKS/AKS), autoscaling, networking, and multi-tenant workloads.</p><p>Implement DevSecOps, secrets management, cloud security, monitoring, and disaster recovery.</p><p>Configure site-to-site VPNs and private connectivity between cloud and banking infrastructure.</p><p>Support production releases, security audits, incident resolution, and technical documentation.</p><br><p><strong>Preferred Qualifications</strong></p><br><p>Experience in <strong>banking, fintech,</strong> or other regulated environments.</p><p>Familiarity with UAE Central Bank or SAMA requirements, ISO 27001, PCI DSS, and Open Finance standards.</p><p>Experience with Kafka, Kong API Gateway, Camunda 8/Zeebe, Liquibase, or Flyway.</p><p>Exposure to Microsoft Sentinel, Defender for Cloud, Dynatrace, or SIEM integrations.</p><p>Experience working with enterprise security teams and supporting compliance audits.</p><br><p><strong>Desired Candidate Profile</strong></p><p><strong>#AWSCertifiedDevOps Engineer – Professional, Azure DevOps Engineer Expert (AZ-400), #AzureSolutionsArchitect Expert (AZ-305), or equivalent certifications.</strong></p>

<ul><li>Lead and mentor developers, review code, and establish consistent engineering standards while contributing to complex features.</li><li>Own backend architecture and technical decisions, balancing scalability, security, maintainability, and delivery priorities.</li><li>Partner with Product and Project Manager to clarify requirements, estimate work, plan technical tasks, and communicate risks and dependencies.</li><li>Develop APIs and third-party integrations, including payment service provider connections and transaction workflows.</li><li>Ensure reliable transaction processing through idempotency, failure recovery, reconciliation, and accurate, auditable financial data.</li><li>Guide frontend integration and collaborate with frontend developers on secure, usable business applications.</li><li>Coordinate with QA, DevOps, and Security on automated testing, CI/CD, release readiness, and production support.</li><li>Investigate incidents, improve performance and monitoring, manage technical debt, and maintain architecture and API documentation.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience with payment gateways, PSP integrations, forex or fintech platforms including settlements, reconciliation, multi-currency processing, or cryptocurrency payments.</li><li>Cloud infrastructure experience such as AWS and operating highly available production systems.</li><li>Familiarity with tools such as Drizzle ORM, BullMQ, and Vault or equivalent technologies.</li></ul>

<ul><li>Oversee the installation, configuration, and ongoing maintenance of the Mendix application platform, ensuring optimal performance and availability.</li><li>Manage user access, roles, and permissions within the Mendix environment, adhering to security best practices and organizational policies.</li><li>Monitor Mendix application health, performance metrics, and logs, proactively identifying and resolving issues to minimize downtime.</li><li>Implement and maintain robust backup and disaster recovery strategies for Mendix applications and associated data.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Educational Qualifications and Certifications ▪ Bachelor’s degree in Computer Science, Information Technology, or related field. ▪ Mendix certification (e.g., Mendix System Administrator, Rapid Developer, or Advanced Developer) is highly desirable. ▪ Strong understanding of application lifecycle management in Mendix. Work Experience Minimum: ▪ 3–5 years of experience in Mendix platform administration or related system administration roles. ▪ Experience with CI/CD, cloud deployment (e.g., Mendix Cloud, AWS, Azure), and platform monitoring Preferred: ▪ Experience with Agile/DevOps processes. ▪ Experience with integration of Mendix applications with other enterprise systems. </p></li></ul>

<p> <strong>Key Responsibilities</strong> </p> <ul> <li> <strong>Solution Architecture:</strong> Translate functional and non-functional requirements into technical specifications, driving the design of complex, scalable systems using proven design patterns and API standards.</li> <li> <strong>Technical Leadership:</strong> Lead the technical design and build process across teams, reviewing and approving architectures to ensure alignment with IT standards and scalability goals.</li> <li> <strong>Engineering Excellence:</strong> Champion automation, CI/CD, and lean software development practices. Define and refine engineering playbooks and conduct root cause analyses to improve system reliability.</li> <li> <strong>Innovation &amp; Discovery:</strong> Lead discovery phases for major projects, conducting Proof-of-Concepts (PoCs) and prototypes to validate technical approaches.</li> <li> <strong>Mentorship &amp; Quality:</strong> Mentor software engineers on clean code practices, debugging, and automated testing. Influence development teams to adopt high-quality coding standards and perform rigorous code reviews.</li> <li> <strong>Performance &amp; Troubleshooting:</strong> Investigate complex, rare edge-case issues and perform deep-dive troubleshooting, including JVM tuning, to ensure optimal system performance.</li> <li> <strong>Technical Strategy:</strong> Provide critical input into technical debt remediation strategies, partnering with infrastructure, security, and service management teams.</li> <li> <strong>Operational Monitoring:</strong> Define and measure engineering metrics (agility, scalability, reliability) to ensure solutions deliver consistent business value.</li> </ul> <p> <strong>Required Qualifications</strong> </p> <ul> <li> <strong>Core Java &amp; Frameworks:</strong> Expert-level proficiency in Core Java and the Spring ecosystem.</li> <li> <strong>System Design:</strong> Deep knowledge of design patterns, API design standards, and high-availability/scalability architecture.</li> <li> <strong>Data Engineering:</strong> Extensive experience with SQL (PostgreSQL) and NoSQL database technologies.</li> <li> <strong>Integration:</strong> Strong background in integration technologies, specifically RESTful APIs and event-driven architectures (Kafka).</li> <li> <strong>Modern Platform Skills:</strong> Proven experience with Cloud environments and containerized orchestration.</li> <li> <strong>DevOps &amp; Quality:</strong> Hands-on experience with CI/CD pipelines, automated testing (functional/non-functional), and performance engineering.</li> <li> <strong>Security:</strong> Solid understanding of secure coding practices and the OWASP Top 10.</li> <li> <strong>Troubleshooting:</strong> Expert ability to perform production support, root cause analysis, and JVM performance tuning.</li> </ul> <p> <strong>Nice-to-Have</strong> </p> <ul> <li>Experience in aviation or large-scale travel technology environments.</li> <li>Contributions to open-source projects or active participation in technical communities.</li> <li>Certification in cloud platforms (AWS, Azure, or GCP) or Enterprise Architecture frameworks.</li> </ul> <p> <strong>What We Offer</strong> </p> <p>We value our employees and provide a comprehensive benefits package to support your professional and personal well-being, including: * <strong>Visa Sponsorship:</strong> Full support for your work visa and relocation. * <strong>Health &amp; Wellness:</strong> Comprehensive medical insurance coverage. * <strong>Travel Benefits:</strong> Annual air tickets to support your travel needs. * <strong>Financial Security:</strong> Statutory gratuity and competitive compensation. * <strong>Work-Life Balance:</strong> Generous paid time off policy.</p> Work Visa, Annual Air Tickets, Medical Insurance, Gratuity &amp; Paid Time Off<p><strong>Desired Candidate Profile</strong></p><ul> <li> <strong>Core Java &amp; Frameworks:</strong> Expert-level proficiency in Core Java and the Spring ecosystem.</li> <li> <strong>System Design:</strong> Deep knowledge of design patterns, API design standards, and high-availability/scalability architecture.</li> <li> <strong>Data Engineering:</strong> Extensive experience with SQL (PostgreSQL) and NoSQL database technologies.</li> <li> <strong>Integration:</strong> Strong background in integration technologies, specifically RESTful APIs and event-driven architectures (Kafka).</li> <li> <strong>Modern Platform Skills:</strong> Proven experience with Cloud environments and containerized orchestration.</li> <li> <strong>DevOps &amp; Quality:</strong> Hands-on experience with CI/CD pipelines, automated testing (functional/non-functional), and performance engineering.</li> <li> <strong>Security:</strong> Solid understanding of secure coding practices and the OWASP Top 10.</li> <li> <strong>Troubleshooting:</strong> Expert ability to perform production support, root cause analysis, and JVM performance tuning.</li> </ul> <p> <strong>Nice-to-Have</strong> </p> <ul> <li>Experience in aviation or large-scale travel technology environments.</li> <li>Contributions to open-source projects or active participation in technical communities.</li> <li>Certification in cloud platforms (AWS, Azure, or GCP) or Enterprise Architecture frameworks.</li> </ul>

<p>We are looking for an experienced Senior Drupal Developer to join our development team and take ownership of Drupal-based web application and digital platform implementations. The ideal candidate should have strong hands-on experience in Drupal development, custom module development, multi-site architecture, content modelling, integrations, migration, performance optimization, security and deployment. The role requires someone who can work independently, understand complex business requirements and deliver scalable, secure and maintainable Drupal solutions.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li><p>Design, develop and maintain enterprise-grade Drupal websites and applications.</p></li><li><p>Develop custom Drupal modules, plugins, services, entities and APIs.</p></li><li><p>Configure Drupal Content Types, Paragraphs, Views, Taxonomy, Media, Workflows and other core/contributed functionality.</p></li><li><p>Implement multi-site and subsite architectures with site-specific configurations, themes, content and permissions.</p></li><li><p>Develop custom roles, groups and granular permission frameworks.</p></li><li><p>Implement reusable components and page-building solutions based on approved UI/UX designs.</p></li><li><p>Develop and maintain integrations with internal and third-party systems through REST APIs and other integration methods.</p></li><li><p>Design and implement structured content models and custom entities.</p></li><li><p>Develop and execute content migration solutions using Drupal Migration API.</p></li><li><p>Handle migration of structured content, media, taxonomy, metadata, URLs and related content.</p></li><li><p>Implement search and indexing solutions using technologies such as Solr or Elasticsearch.</p></li><li><p>Configure and optimize Drupal caching, Redis, Varnish and other performance mechanisms.</p></li><li><p>Support database optimization and application performance tuning.</p></li><li><p>Implement and maintain Drupal configuration management across multiple environments.</p></li><li><p>Work with Git-based source control and CI/CD pipelines.</p></li><li><p>Support deployment across Development, Staging and Production environments.</p></li><li><p>Troubleshoot application, integration, deployment and production issues.</p></li><li><p>Follow Drupal coding standards, security best practices and scalable development practices.</p></li><li><p>Support vulnerability assessments, security testing and remediation activities.</p></li><li><p>Conduct code reviews and ensure quality and maintainability of the implementation.</p></li><li><p>Prepare technical documentation and assist with knowledge transfer.</p></li><li><p>Collaborate with UI/UX designers, QA engineers, DevOps engineers and project stakeholders.<br></p></li></ul><p><strong>Required Skills & Experience</strong></p><br><ul><li><p>4+ years of professional Drupal development experience.</p></li><li><p>Strong hands-on experience with Drupal 9/10/11.</p></li><li><p>Strong PHP and object-oriented programming skills.</p></li><li><p>Excellent understanding of Drupal architecture and APIs.</p></li><li><p>Strong experience in custom module development.</p></li><li><p>Experience with Drupal Configuration Management.</p></li><li><p>Strong knowledge of Content Types, Paragraphs, Views, Taxonomy, Media and Workflows.</p></li><li><p>Experience with Drupal multi-site implementations.</p></li><li><p>Experience developing custom entities and complex content structures.</p></li><li><p>Hands-on experience with Drupal Migration API.</p></li><li><p>Strong experience with REST APIs and third-party integrations.</p></li><li><p>Good knowledge of MySQL/MariaDB.</p></li><li><p>Experience with Git and CI/CD.</p></li><li><p>Good Linux server administration knowledge.</p></li><li><p>Experience with Solr or Elasticsearch.</p></li><li><p>Experience with Redis, Varnish and Drupal caching.</p></li><li><p>Strong understanding of Drupal security and performance optimization.</p></li></ul><br><p><strong>Good to Have</strong></p><br><ul><li><p>Experience with Drupal Canvas or similar page-building frameworks.</p></li><li><p>Experience with DAM implementations.</p></li><li><p>Experience with MongoDB or analytics platforms.</p></li><li><p>Experience with Azure DevOps or similar CI/CD platforms.</p></li><li><p>Experience with SSO, Active Directory or enterprise authentication systems.</p></li><li><p>Experience with Docker and containerized Drupal environments.</p></li><li><p>Experience with Apache/Nginx and PHP-FPM.</p></li><li><p>Experience with WCAG and accessibility-focused implementations.</p></li><li><p>Experience with multilingual and RTL Drupal implementations.</p></li><li><p>Experience working on enterprise, government, education or large-scale digital platforms.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Strong problem-solving and analytical skills.</p></li><li><p>Ability to independently take ownership of Drupal development activities.</p></li><li><p>Ability to understand technical requirements and translate them into practical solutions.</p></li><li><p>Strong debugging and troubleshooting capabilities.</p></li><li><p>Good communication and collaboration skills.</p></li><li><p>Ability to work effectively in a structured development and deployment environment.</p></li><li><p>Willingness to work closely with technical and non-technical stakeholders.</p></li></ul><br><p><strong>Role Type</strong></p><br><ul><li><p><strong>Experience Level:</strong> Senior</p></li><li><p><strong>Employment Type:</strong> Full-time / Contract</p></li><li><p><strong>Work Location:</strong> UAE / On-Site</p></li></ul>