Support Engineer (DevOps / SRE / Production Support)

Pharos Resource Partners LtdAbu Dhabigulftalentpublié le 29/07/2026
Indispensable :PythonC#AzureDockerKubernetesCloudDevOpsCI/CDMicroservicesAILead

About the role

We’re looking for a high-performing support engineer to join a forward-thinking development & engineering team. This role blends production support, DevOps, and modern SRE practices, with a strong emphasis on automation, observability, and AI-driven operations.

What you’ll be doing

Own L2/L3 support across applications, APIs, data platforms, and event-driven systems

Lead incident management end-to-end (triage, resolution, root cause analysis)

Build and maintain CI/CD pipelines (Azure DevOps)

Manage cloud infrastructure (Azure) using Infrastructure as Code (Terraform/Bicep/ARM)

Enhance observability (monitoring, alerting, tracing, dashboards)

Automate workflows, runbooks, and remediation processes

Support data pipelines, ETL/ELT processes, and platform operations

Collaborate with engineers on production readiness and release reliability

Leverage AI tools for incident triage, diagnostics, and proactive issue detection

What we’re looking for

Core skills

Strong experience in production support / SRE / DevOps environments

Hands-on with Azure services (App Services, AKS, Functions, SQL, etc.)

Expertise in CI/CD and deployment strategies

Containerization and orchestration (Docker, Kubernetes / AKS)

Solid Python & 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 in support engineering / DevOps / SRE

Degree in computer science (or equivalent experience)

Strong understanding of ITIL processes

Experience supporting enterprise-grade systems

Background in financial services or complex data environments (preferred)