DevOps Engineer (Azure)

Requirements:

• Experience: 5 - 9 years.
• Strong hands-on experience in Microsoft Azure cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially Terraform state plan / apply troubleshooting failures migration risks Terraform Enterprise concepts.
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON. Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills:

• Hands-on experience with Harness. Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain. Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge. FinOps / Azure cost optimisation experience.
• Azure certifications: AZ-104 AZ-305 AZ-400 AZ-500