AppEng DevOps Platform Engineer

Job Title: AppEng DevOps / Platform Engineer

Location: Alpharetta GA (3 days onsite minimum)

Duration: 6 months

Rate: $60/hr. - $65/hr. max

Please look for local candidate as their will be F2F

Top Skills

1. GitHub

2. Python

3. NPM

Position : 2

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 were 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 Java and Python stacks.

What Youll Do

• Migrate & consolidate: Move projects from Bitbucket Server into product-aligned GitHub mono-repos across multiple teams and stacks ( 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 teams tooling processes and practices with development partners.

What Youll 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.