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# Developer Platform Engineer (Financial Cloud)

- **Company:** IntelliPro Group Inc.
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Cloud Computing, Programming Tools, Github, Gradle, Graph Database, Neo4j, Scripting, Delivery Pipeline, Build Server, Backend, Kotlin, Kubernetes, Build Tools, Software Version Control, Docker, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/bd19e43b-ebcb-4ca4-9f6e-e222a5e73aa8/developer-platform-engineer-financial-cloud

## About the Role

1. 6+ years in backend / platform / infrastructure / developer tools engineering
 2. Strong proficiency in Go (primary) or Java/Kotlin, with Python scripting
 3. Production CI/CD pipeline development: GitHub Actions, Tekton, Jenkins, or custom orchestrators
 4. GitOps at scale (10+ clusters): ArgoCD, Flux, Kustomize
 5. Kubernetes: operators, custom controllers, CRDs, Helm chart development
 6. Build systems: Bazel or Gradle - reproducible builds, remote caching, build graph optimization

Preferred / Bonus

 * Experience with dependency analysis tooling or graph databases (Neo4j, Dgraph)
 * Supply chain security: Sigstore, in-toto, SBOM generation
 * AWS (CodePipeline, CodeBuild, Proton) or GCP (Cloud Build, Artifact Registry, Cloud Deploy)

## Description

You will be a core builder of the Financial Cloud developer platform - implementing the CI/CD pipelines, GitOps automation, artifact management, dependency graph engine, and change impact analysis tooling that allow 50-100 versioned modules to be independently built, tested, composed, and deployed across dozens of global compliance sites., 1. Build module-level CI/CD pipelines: commit to versioned artifact (Docker image + K8s manifest) with hermetic builds, pinned toolchains, and deterministic outputs

 2. Implement build provenance automation: SLSA attestation, artifact signing, dependency chain verification, Golden Signals validation in CI
 3. Develop the dependency graph database: ingest static + runtime dependencies, provide a queryable graph for change impact analysis
 4. Build change impact analysis tools: PR-level affected module/site/test computation surfaced in PR review UI; selective test orchestration
 5. Implement GitOps deployment engine: ArgoCD/Flux controllers, staging-canary-production promotion with Golden Signals monitoring and auto-rollback
 6. Build site provisioning tooling, version management console, security patch force-push pipeline, and four-layer test orchestrator