DevOps Engineer

Experience - 4 - 6 years

Location - Hyderabad

Mode of work - Onsite (5 days WFO)

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:
• 4–5 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).