Senior DevOps Engineer - AWS Cloud Services

Job Description

Description 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. (ref:hirist.tech)