Job Title: AppEng DevOps / Platform Engineer
Location: Alpharetta, GA (3 days onsite minimum)
Duration: 6 months
Top Skills
1. GitHub
2. Python
3. NPM
Experience : 6/7+ Years
Job Summary:
AppEng DevOps / Platform Engineer Role
Job Description
As part of integrating E*TRADE technology with a wealth management client, we're harmonizing development practices into a unified developer experience built on polyglot, product-aligned GitHub mono-repos. This role empowers developers to ship high-quality code faster by designing, automating, andsupporting the platform tooling, CI/CD, and AI-assisted workflows that span Node.js/TypeScript, Java, and Python stacks.
What You'll Do
- 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.
- Automate code hygiene: Drive Dependabot updates, scheduled/manual maintenance workflows, agentic triage-and-patch automation, and large-scale refactoring (OpenRewrite/Moderne), enforcing conventional-commit and automated-release standards.
- 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.
- CI/CD & automation: Proven experience designing and maintaining pipelines (GitHub Actions preferred).
- 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.
- Broader SDLC process knowledge.
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