Migrate & consolidate: Move projects from Bitbucket Server into product-aligned GitHub mono-repos across multiple teams and stacks (Node.js/TypeScript, Java, Python).
Own the monorepo workflow: Build and maintain unified tooling with Nx, Lerna, and pnpm workspaces — affected-graph builds, task caching, and project scaffolding.
Modernize builds: Standardize Java builds (Maven, with Gradle migration where it pays off) integrated with JFrog Artifactory and our Train deployment system.
Design CI/CD: Build GitHub Actions pipelines — reusable workflows, matrix builds, caching, and supply-chain controls (SBOM, dependency and secret scanning) — partnering with the squads that own shared CI/CD infrastructure.
Advance AI-assisted DevEx: Extend GitHub Copilot, custom agents, reusable prompts/instructions, and MCP tooling to automate migration, review, and repetitive engineering work; add linters, static analysis, and codegen.
Make systems observable: Implement logging, tracing, and alerting (OpenTelemetry, Prometheus, Grafana) for visibility and performance insight.
Share knowledge: Document and champion the team's tooling, processes, and practices with development partners.
What You'll Bring
7+ years in DevOps, platform, or application engineering (Java and/or JavaScript/TypeScript).
AI-assisted development: Mid-level or stronger hands-on use of AI coding tools and agentic workflows (GitHub Copilot, Copilot/Claude agents, prompt engineering, MCP) on real delivery work.
Build & package systems: Multi-language tooling (pnpm/npm, Maven/Gradle, uv/pip) and monorepo conventions (Nx, Lerna, pnpm workspaces, or equivalents).
Platform fundamentals: Linux, advanced Git (GitHub and Bitbucket), containers with Podman (rootless/daemonless) and Docker-compatible workflows, plus Kubernetes/orchestration.
Scripting: Strong skills in Python, Bash, Groovy, or JavaScript/TypeScript.
Soft skills: Strong analytical and problem-solving ability, excellent written/verbal English, and a self-motivated team player who adapts quickly.
Nice-to-Have
Software supply-chain security (SBOM, SCA/SAST such as Snyk and SonarQube, secret scanning).
Deep observability practice with OpenTelemetry, Prometheus, and Grafana.
Dependency management at scale (Dependabot or Renovate) and authoring AI agent customizations (agents, skills, instruction files) to standardize automation.