AI Central - Mid Devops AI Engineer
Zensar Technologies · Pune · onsite · Posted 21d ago
About a minute. You'll make an account on the way through.
About this role
Roles & Responsibilities :
GitHub Actions at scale: reusable workflows, composite actions, self-hosted runners, matrix builds, caching.
- GitHub Enterprise working knowledge: organization and repository configuration, rulesets and branch protection, GitHub Apps and fine-grained tokens.
- Building agentic developer workflows end to end - an agent that takes a defined input, changes code, runs validation and opens a pull request. GitHub Copilot coding agent, Copilot CLI, custom instructions and skills preferred; equivalent experience with other agent frameworks acceptable if the candidate is willing to work entirely in the GitHub toolchain.
- Designing guardrails and evaluating agent output quality - knowing when a generated change is safe to put in front of a reviewer.
- Build engineering across mixed technology stacks: able to get an unfamiliar build working, keep it working in CI, and reason about toolchain and dependency management in more than one ecosystem.
- Scripting: Python, plus Bash and/or PowerShell.
Nice To Have :
Model Context Protocol (MCP) server authoring.
- Secure software supply chain: artifact signing, SBOM, dependency provenance.
- JFrog Artifactory.
- Prior work productizing internal developer tooling for other teams (platform engineering, not consulting delivery).
Nice To Have :
Model Context Protocol (MCP) server authoring.
- Secure software supply chain: artifact signing, SBOM, dependency provenance.
- JFrog Artifactory.
- Prior work productizing internal developer tooling for other teams (platform engineering, not consulting delivery).
GitHub Actions at scale: reusable workflows, composite actions, self-hosted runners, matrix builds, caching.
- GitHub Enterprise working knowledge: organization and repository configuration, rulesets and branch protection, GitHub Apps and fine-grained tokens.
- Building agentic developer workflows end to end - an agent that takes a defined input, changes code, runs validation and opens a pull request. GitHub Copilot coding agent, Copilot CLI, custom instructions and skills preferred; equivalent experience with other agent frameworks acceptable if the candidate is willing to work entirely in the GitHub toolchain.
- Designing guardrails and evaluating agent output quality - knowing when a generated change is safe to put in front of a reviewer.
- Build engineering across mixed technology stacks: able to get an unfamiliar build working, keep it working in CI, and reason about toolchain and dependency management in more than one ecosystem.
- Scripting: Python, plus Bash and/or PowerShell.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
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