Description

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 protected 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).

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.

Qualifications

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).

📌 AI Central - Senior Devops AI Engineer (India)
🏢 Zensar Technologies
📍 India