DevOps Engineer

Devops with AWS (Python)

Location : Remote, Bangalore, Hybrid

Job Type: Fulltime - Remote/Hybrid

Experience: 9+ 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.