Job Details
- Location: Trivandrum
- Experience: 3 - 8 Years
- Job Type: Full Time
- Openings: 1
Role Description
Role
Azure DevOps Engineer / Python Developer
Experience: 5+ years
Location - Any UST
Azure Services
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- Azure DevOps
- Azure AI (good to have)
Python Stack
- FastAPI
- REST APIs
- Automation scripting
- Async programming
- Virtual environments
- Package management (pip, requirements.txt)
DevOps Topics
- YAML pipelines
- Multi-stage pipelines
- Pipeline templates
- Build and Release
- Deployment strategies
- Artifact management
- Variable Groups
- Service Connections
- Self-hosted vs Microsoft-hosted agents
Containerization
- Docker
- Docker Compose
- Kubernetes
- Helm (preferred)
- ArgoCD (preferred)
AI/ML (Preferred)
The JD mentions AI-driven automation, so expect questions like:
- Have you integrated LLMs into DevOps workflows?
- Prompt Engineering
- Azure AI/OpenAI
- AI-assisted test generation
- ML-based anomaly detection
- AI chatbots for operations
Automation Testing
- Python automation
- API testing
- Test automation in CI/CD
- Integration testing
Interview Questions You Should Prepare Azure DevOps
- Explain Azure DevOps architecture.
- Difference between Build Pipeline and Release Pipeline.
- What are YAML templates?
- How do multi-stage pipelines work?
- How do you secure secrets?
- What are Variable Groups?
- How do approvals and gates work?
Python
- Explain decorators.
- Difference between multiprocessing and multithreading.
- What is async/await?
- Explain FastAPI lifecycle.
- Dependency Injection in FastAPI.
- Exception handling.
- Logging best practices.
REST APIs
- Difference between PUT and PATCH.
- What is idempotency?
- Authentication methods.
- JWT implementation.
- API versioning.
- Swagger/OpenAPI.
Docker
- Difference between CMD and ENTRYPOINT.
- Multi-stage builds.
- Docker networking.
- Volumes vs Bind Mounts.
- Docker Compose.
Kubernetes
- Pods
- Deployments
- ReplicaSets
- Services
Skills
python, lambda, prompt engineering, rest apis, azure ai, kubernetes,
