Support Engineer (DevOps / SRE / Production Support) | Abu Dhabi, UAE | In-Office

Support Engineer (DevOps / SRE / Production Support) Location:Abu Dhabi, UAE Type:Full-time About the Role We’re looking for ahigh-performing Support Engineer to join a forward-thinking Development & Engineering team. This role blendsproduction support, DevOps, and modern SRE practices , with a strong emphasis onautomation, observability, and AI-driven operations . What You’ll Be Doing • OwnL2/L3 support across applications, APIs, data platforms, and event-driven systems • Leadincident management end-to-end (triage → resolution → root cause analysis) • Build and maintainCI/CD pipelines (Azure DevOps) • Managecloud infrastructure (Azure) using Infrastructure as Code (Terraform/Bicep/ARM) • Enhanceobservability (monitoring, alerting, tracing, dashboards) • Automate workflows, runbooks, and remediation processes • Supportdata pipelines, ETL/ELT processes, and platform operations • Collaborate with engineers onproduction readiness and release reliability • LeverageAI tools for incident triage, diagnostics, and proactive issue detection What We’re Looking For Core Skills • Strong experience inproduction support / SRE / DevOps environments • Hands-on withAzure services (App Services, AKS, Functions, SQL, etc.) • Expertise inCI/CD and deployment strategies • Containerisation and orchestration (Docker, Kubernetes / AKS ) • SolidPython & SQL for automation and troubleshooting • Monitoring & observability tools (Dynatrace, Azure Monitor, Datadog, etc. ) Technical Exposure • .NET / C#, APIs, microservices, event-driven systems (Kafka, RabbitMQ, etc.) • Data platforms (Spark, Databricks or similar) • Infrastructure as Code & cloud networking fundamentals • Scheduling/orchestration tools (Airflow, Control-M, etc.) Experience & Qualifications • 7–10+ years insupport engineering / DevOps / SRE • Degree in Computer Science (or equivalent experience) • Strong understanding ofITIL processes • Experience supportingenterprise-grade systems • Background infinancial services or complex data environments (preferred)

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