Senior Devops Engineer

Role overview

Responsibilities

• Build and maintain complex CI/CD pipelines across development, test, staging, and production, including quality gates and controlled releases.
• Own Azure infrastructure and support AWS workloads, applying reliability, security, automation, and cost-governance practices.
• Deliver Azure data-platform pipelines with deployment, promotion, testing, monitoring, and rollback controls.
• Implement Infrastructure as Code, GitOps, DevSecOps scanning, and policy-as-code.
• Build observability with instrumentation, dashboards, alerting, tracing, and production diagnosis.
• Monitor and optimize cloud costs with engineering and finance stakeholders.
• Contribute to AI-augmented DevOps initiatives and troubleshoot incidents while improving performance and platform practices.

Required experience

• Deep hands-on Azure DevOps experience, including Azure Repos, YAML Pipelines, Artifacts, Test Plans, REST APIs, and extensions.
• End-to-end CI/CD experience, GitHub Actions, and blue-green or canary deployments.
• Production-grade Azure experience and working knowledge of AWS services.
• Hands-on delivery experience with Azure Data Factory, Databricks, ADLS Gen2, and Synapse Analytics.
• Experience with Docker, Kubernetes/AKS, Helm, GitOps, Terraform, and cloud infrastructure templates.
• DevSecOps, monitoring, automation, scripting, Git, microservices, serverless architecture, and Agile/DevOps knowledge.

Platforms and tools

• Azure services include AKS, Front Door, Application Gateway, APIM, ACR, Key Vault, CDN, Monitor, Application Insights, Log Analytics, and KQL.
• AWS services include EKS/ECS, EC2, Lambda, API Gateway, load balancing, Route 53, CloudFront, ECR, S3, IAM, CloudWatch, CloudTrail, and Secrets Manager.
• Scripting includes PowerShell, Azure CLI, AWS CLI, Python, and Bash; observability tools include Azure Monitor and AWS services.

Preferred experience and certifications

• AI/MLOps, Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, MCP integrations, and service mesh are advantageous or a plus.
• Landing zones, AWS Organizations or Control Tower, cross-cloud cost governance, Purview, Unity Catalog, Delta Lake, dbt, and data-quality or lineage controls are nice to have.
• Listed optional certifications include Microsoft Azure and DevOps certifications, AWS certifications, FinOps Certified Practitioner, and CKS.

Work arrangement

• Abu Dhabi, UAE; onsite.
• Project type: contract.