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Embedding VC
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An early-stage venture fund backing Generative AI startups
  • Growing fast
    Showed strong hiring growth in the past month

Developer Platform Engineer

Posted: 2 days ago• Recruiter recently active
Job Location
Visa Sponsorship

Not Available

RelocationNot Allowed
Hiring contact
Congxing Cai
Employee
Palo Alto
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About the job

About the Role

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. You'll work directly with the Platform Architect to turn architecture blueprints into production systems used daily by hundreds of engineers.

Key Responsibilities

  1. Build module-level CI/CD pipelines: from commit to versioned artifact (Docker image + K8s manifest) published to the artifact registry, with reproducible build enforcement (hermetic environments, pinned toolchains, deterministic outputs)
  2. Implement build provenance automation: SLSA attestation generation, artifact signing, dependency chain verification integrated into every pipeline; Golden Signals validation in CI that blocks releases missing required metrics endpoints
  3. Develop the dependency graph database: ingest static dependencies (code imports, API contracts, schema references) + runtime dependencies (service mesh traces), provide queryable graph for impact analysis
  4. Build change impact analysis tools: given a PR, compute affected modules/sites/tests and surface results in the PR review UI; implement selective test orchestration that only runs dependency-graph-proven relevant tests
  5. Implement the GitOps deployment engine: ArgoCD/Flux controllers managing site config repos, automated reconciliation, staging → canary → production promotion with Golden Signals monitoring and auto-rollback
  6. Build site provisioning tooling: scaffolding tools that generate new site config repos with module version pinning + compliance parameters; self-service console for configuration-type sites
  7. Develop the version management console: module version status, version drift visualization across all sites, batch upgrade workflows, automated changelog generation, compatibility checking before deployment
  8. Implement the security patch force-push pipeline: automated SECURITY-REQUIRED PR creation across all site repos with SLA tracking and escalation triggers
  9. Build the four-layer test orchestrator: automated test selection by module/country/scenario tags, parallel execution at scale, coverage gap detection that blocks deployments with actionable feedback

Major Requirements

  1. 6+ years in backend / platform / infrastructure / developer tools engineering
  2. Strong proficiency in Go (primary) or Java/Kotlin, with scripting in Python
  3. Production experience with CI/CD pipeline development: GitHub Actions, Tekton, Jenkins, or custom pipeline orchestrators
  4. Hands-on with GitOps tooling: ArgoCD, Flux, Kustomize — at scale (10+ clusters/environments)
  5. Experience with Kubernetes: operators, custom controllers, CRDs, Helm chart development
  6. Solid understanding of container registries and artifact management (Harbor, ECR, Artifactory)
  7. Experience with build systems: Bazel, Gradle, or equivalent — reproducible builds, remote caching, build graph optimization
  8. Background in dependency analysis tooling or graph databases (Neo4j, Dgraph, or custom implementations)
  9. Preferred: Experience at AWS (CodePipeline, CodeBuild, Proton, Service Catalog) or GCP (Cloud Build, Artifact Registry, Cloud Deploy)
  10. Preferred: Background at Stripe, Adyen, or Square in developer platform teams
  11. Preferred: Experience building internal developer platforms (IDP) or platform-as-a-service for engineering organizations
  12. Preferred: Familiarity with supply chain security tooling (Sigstore, in-toto, SBOM generation)

About the company

Embedding VC company logo

Embedding VC

Actively Hiring
More jobs
An early-stage venture fund backing Generative AI startups1-10 Employees
Company Size
1-10
Company Type
Venture Capital
Company Type
Startup Studio
  • Growing fast
    Showed strong hiring growth in the past month
Learn more about Embedding VC image

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