Strong hands-on experience in Microsoft Azure Cloud.

Positive 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 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 optimization experience.

Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

📌 Microsoft Azure Cloud Engineer (Bengaluru)
🏢 wissen technology
📍 Bengaluru