AI Central - Mid Devops AI Engineer

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).

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).

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.