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Build and Release Engineer

acceldata

acceldata

Software Engineering
Bengaluru, Karnataka, India
Posted on Mar 28, 2025
We are looking for a Build and Release Engineer with hands-on experience in Maven-based Apache projects, CI/CD pipelines, Jenkins automation, Python scripting, and GitHub. The ideal candidate will manage build processes, automate release workflows, and ensure smooth software delivery.

You are a great fit for this role if you have

  • You will develop and maintain Python scripts to automate build, deployment, and monitoring tasks. Your focus will be on improving system reliability through automation and self-healing mechanisms.
  • You will manage and enhance Maven-based build systems for Apache projects, automate release processes including branching, tagging, and versioning, and ensure that builds remain stable and reproducible across environments.
  • Your role will involve designing, implementing, and optimizing CI/CD pipelines using Jenkins, streamlining deployment workflows, and troubleshooting build failures and pipeline issues.
  • You will oversee source code repositories in GitHub, manage branching strategies, and collaborate with development teams on pull requests, code reviews, and maintaining repository hygiene.
  • Collaboration with development and QA teams is essential to ensure smooth integration and deployment, along with maintaining clear documentation of build, release, and deployment processes.

What we look for:

  • 2-3 years of experience in Build & Release Engineering.
  • Strong knowledge of Maven for build management.
  • Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, etc.).
  • Proficiency in Python and Bash scripting for automation.
  • Strong understanding of GitHub (branches, tags, merge strategies).
  • Experience in release automation and deployment workflows.
  • Good troubleshooting skills for build failures and CI/CD issues.

Nice-to-Have Skills:

  • Experience with Docker & Kubernetes.
  • Knowledge of Apache open-source projects.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).