AI Central - Mid Devops AI Engineer

On-siteMidAI Engineerposted 1mo ago

✦Role summaryAI-generated

This role focuses on scaling GitHub Actions and building agentic developer workflows using GitHub Copilot and other agent frameworks. The engineer will design guardrails, manage CI across mixed tech stacks, and ensure safe code changes in a collaborative environment.

Skills required

Github actions Github enterprise Copilot Agentic workflows Ci Caching Build engineering Dependency management Matrix builds Agentic AI Python Bash

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).

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.