Zensar Technologies—AI Central - Mid Devops AI Engineer

Job description

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 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). Requirements: 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.