Cloud DevOps Engineer (Microservices Application Development)

Job Description : We are looking for a Cloud DevOps Engineer to own the end-to-end delivery and operations of microservices-based applications on cloud platforms.

The role combines DevOps practices cloud infrastructure and hands-on programming (Java/.NET/Python/) to enable secure reliable and high-velocity releases.

Key Responsibilities:

1. Cloud Infrastructure Platform (AWS / Azure / GCP)

• Design and provision cloud resources:
  
• Compute networking storage IAM
  
• Implement Infrastructure as Code using:
  
• Terraform CloudFormation ARM Bicep
  
• Set up Kubernetes clusters:
  
• AKS EKS GKE
  
• Configure autoscaling node pools pod disruption budgets
  
• Implement secure networking:
  
• VNet/VPC subnets security groups
  
• Private endpoints ingress/egress
  
• Manage:
  
• Secrets and KMS / Key Vault integration
  
• Least-privilege access controls
  

2. CI/CD Release Engineering & Automation

• Build and maintain CI/CD pipelines using:
  
• Azure DevOps GitHub Actions Jenkins GitLab CI
  
• Implement deployment strategies:
  
• Blue-Green
  
• Canary
  
• Rolling deployments with rollback
  
• Integrate quality gates:
  
• Unit & integration tests
  
• SAST / DAST
  
• License scans
  
• Package and manage:
  
• Docker images
  
• Helm charts
  
• Versioning and SBOMs
  

3. Microservices Architecture & Runtime

• Design and develop microservices:
  
• REST / gRPC
  
• Event-driven architecture
  
• Containerize and orchestrate:
  
• Docker
  
• Kubernetes (Helm Kustomize)
  
• Manage:
  
• Service discovery
  
• API Gateway
  
• Configuration and circuit breakers (Istio Linkerd Envoy)
  
• Implement resilience patterns:
  
• Retries timeouts bulkheads
  
• Idempotency and backpressure
  

4. Programming & Application Engineering

Common Responsibilities

• Build scalable and testable services using clean architecture and SOLID principles
  
• Write automated tests:
  
• Unit contract integration
  
• Implement:
  
• Observability (logs metrics traces)
  
• Feature flags
  
• Integrate with:
  
• Databases: PostgreSQL MySQL MongoDB Redis
  
• Messaging: Kafka RabbitMQ Event Hubs
  

Language-Specific Expectations

Java (Spring Boot / Quarkus / Micronaut)

• Build REST/gRPC services
  
• Use Spring Cloud Config Resilience4j OpenFeign
  
• Maven/Gradle builds JUnit Mockito RestAssured OpenAPI/Swagger
  

Python (FastAPI / Flask / Django REST)

• Use Pydantic models
  
• Async IO where appropriate
  
• pytest tox black ruff
  

5. Security & Compliance (DevSecOps)

• Implement shift-left security:
  
• SAST / DAST
  
• Dependency and container scanning
  
• IaC scans
  
• Manage secrets:
  
• Key Vault Secrets Manager Vault
  
• Rotation policies
  
• Implement:
  
• OAuth2 OIDC JWT mTLS
  
• API security best practices
  
• Enforce policies:
  
• OPA Gatekeeper Kyverno
  
• Compliance tagging (CIS benchmarks)
  
• Support:
  
• Audit logging
  
• Data classification
  
• Encryption (at rest & in transit)
  

6. Observability SRE & Operations

• Implement monitoring:
  
• Metrics logs traces
  
• Prometheus Grafana
  
• CloudWatch Cloud Logging Azure Monitor OpenTelemetry
  
• Define and track:
  
• SLIs / SLOs
  
• Alerts and on-call runbooks
  
• Perform:
  
• Incident response
  
• Root Cause Analysis (RCA)
  
• Error budget management
  
• Optimize:
  
• Performance (latency throughput CPU memory)
  
• Cloud cost efficiency