DevOps Engineer

Devops with AWS (Python)

Location : Remote, Bangalore, Hybrid

Experience: 8+ Years

Shift Timing: 10:00 AM to 7:00 PM IST

Interview round: Project Interview, Technical interview, Client interview

Must have: As per Technical skills

Availability: Only immediate joiners

Budget: 34 LPA

Job description:

Responsibilities

• Design, build, and maintain robust CI/CD pipelines using GitLab CI and TeamCity.
• Develop and manage reusable pipeline components: modules, templates, patterns, and shared jobs to promote efficiency and consistency.
• Automate infrastructure provisioning and management using Terraform for AWS environments.
• Implement and support release strategies (blue-green, canary, feature flags) and Git workflows (GitFlow, trunk-based).
• Utilize Git tools and practices for version control, branching strategies, and code collaboration.
• Build and maintain monitoring and visualization solutions for pipeline health, performance, and deployment metrics.
• Develop automation scripts and tools in Bash, Python, and/or PowerShell to streamline operational tasks and reduce manual effort.
• Collaborate with development teams to integrate CI/CD best practices and ensure quality gate adherence.
• Troubleshoot and resolve pipeline failures, perform root cause analysis, and implement preventive measures.
• Contribute to the design and maintenance of reporting dashboards for quality, performance, and deployment status.

Requirements

• 8+ years of hands-on experience in a DevOps, CI/CD, or automation engineering role.
• Strong practical experience with GitLab CI for pipeline orchestration.
• Solid understanding of release strategies and Git workflows in a collaborative environment.
• Proficiency in Infrastructure as Code using Terraform for Cloud Providers.
• Strong coding/scripting skills
• Hands-on experience with AWS core services (EC2, S3, IAM, VPC, ECS/EKS, Lambda, etc.).
• Knowledge of pipeline optimization, reusable components, and modular CI/CD design.
• Ability to develop automation solutions beyond simple scripting – tooling, internal apps, or process automation.
• Strong problem-solving skills and a proactive, iterative improvement mindset.
• Good communication skills and ability to work in a team-oriented environment.

Nice to have

• Experience with monitoring platforms (Prometheus, Grafana, CloudWatch, Datadog, etc.).
• Experience with Amazon Bedrock.
• Familiarity with containerization (Docker) and orchestration (Kubernetes, ECS).
• Knowledge of configuration management (Ansible, Chef, Puppet).
• Previous exposure to financial services or regulated environments.