Experience - 3-5 years

Location - Pune

Mode of work - Hybrid (3 days, from office)

Job Overview:

We are seeking a Cloud/DevOps Engineer with solid experience in Amazon Web Services (AWS) and Terraform(Infrastructure as Code) and Kubernetes (Container Orchestration). The ideal candidate will play a key role in designing, deploying, automating, and managing scalable, secure, and resilient cloud infrastructure.

Key Responsibilities:

Design and implement cloud infrastructure on AWS using best practices around scalability, security, and high availability.

Use Terraform to define and provision cloud resources via Infrastructure as Code (IaC).

Manage containerised applications and orchestrate workloads via Kubernetes.

Automate provisioning, configuration, deployment, and monitoring processes using modern DevOps tools.

Build and maintain CI/CD pipelines to streamline build-test-release cycles.

Monitor infrastructure performance, costs, and health using tools like CloudWatch, Prometheus, or Grafana.

Troubleshoot infrastructure and deployment issues in development, staging, and production environments.

Work closely with development, QA, and security teams to align cloud strategies with business goals.

Must-Have Skills:

3–5 years of hands-on AWS experience, including core services such as EC2, VPC, S3, RDS, IAM, CloudWatch, and ECS/EKS.

Terraform: writing reusable modules, managing state, and integrating with CI/CD workflows,

Kubernetes: deploying/managing clusters, Helm charts, ingress, and service discovery.

Familiarity with container technologies like Docker.

Solid understanding of networking, IAM, and cloud security best practices.

Experience with version control (Git) and CI/CD tools (GitLab CI, GitHub Actions, Jenkins, etc.).

Good scripting skills in Python, Bash, or similar.

Nice-to-Have Skills:

AWS Certifications (e.g., Solutions Architect Associate/Professional).

Experience with serverless architecture (e.g., AWS Lambda, API Gateway).

Observability stack experience (e.g., Cloud Watch, Loki, Datadog).

Familiarity with GitOps practices (e.g., ArgoCD or Flux).