- Experience : 7+ Years.

- Location : Ahmedabad, Indore, Pune,.

- Working Mode : On-site.

- Workdays : 5 Days a Week.

- Shift timing (if any) : Rotational shift (15 days in same Shift).

- S1 : 6 AM to 2 : 30 PM IST.

- S2 : 2 PM to 10 : 30 PM IST.

- S3 : 10 PM to 6 : 30 AM IS (Additional Allowance).

Job Description :

- We are hiring a Senior DevOps Engineer- AWS with strong experience in building, automating, and managing scalable infrastructure on AWS.

- The role requires expertise in cloud operations, CI/CD pipelines, container orchestration, monitoring, and security best practices.

Key Responsibilities :

- Architect, implement, and manage secure, scalable AWS infrastructure (EC2, S3, Lambda, RDS, VPC, etc.

- Automate deployments using Terraform, CloudFormation, and Ansible.

- Design CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins integrated with AWS services.

- Work with Docker and orchestrate using EKS with service discovery, auto-scaling, and monitoring.

- Set up and manage observability tools like CloudWatch, Datadog, Prometheus, Grafana, and X-Ray.

- Apply IAM, Config, and Control Tower for governance and compliance.

- Write automation scripts in Python, Bash, or PowerShell.

- Troubleshoot performance and infrastructure issues; perform root cause analysis and cost optimization.

- Collaborate with cross-functional teams for operational improvements.

Preferred Skills :

- 7+ years in DevOps, with a strong focus on automation, cloud infrastructure, and CI/CD practices.

- Advanced knowledge of Terraform, with experience in writing, testing, and deploying modules.

- AWS : Extensive experience with AWS services (EC2, S3, RDS, Lambda, VPC, etc.) and best practices in cloud architecture.

- Proven experience in containerization with Docker and orchestration with Kubernetes in production environments.

- Strong understanding of CI/CD processes, with hands-on experience in CircleCI or similar tools.

- Proficient in Python and Linux Shell scripting for automation and process improvement.

- Experience with Datadog or similar tools for monitoring and alerting in large-scale environments.

- Proficient with Git, including branching, merging, and collaborative workflows.

- Experience with Kustomize or similar tools for managing Kubernetes configurations.