Embedding VC

Developer Platform Engineer

San Francisco Bay Area FullTime Remote
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Job Description

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)

Frequently Asked Questions

What does the Developer Platform Engineer role at Embedding VC involve?

The Developer Platform Engineer position at Embedding VC in San Francisco Bay Area is a fulltime role. 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.

What skills are required for Developer Platform Engineer at Embedding VC?

Key skills for this role include: Python, Java, GO, Kotlin, Scala, AWS, GCP, Docker, Kubernetes, K8S.

What is the salary for Developer Platform Engineer at Embedding VC?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Developer Platform Engineer position at Embedding VC remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for Developer Platform Engineer at Embedding VC?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Developer Platform Engineer at Embedding VC is a fulltime devops & cloud position in San Francisco Bay Area. Key skills include Python, Java, GO, Kotlin, Scala, AWS, GCP, Docker. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as remote and is suitable for mid level-level professionals. Ghost Score 5/100 (Fresh) indicates this listing is very likely active and recently refreshed.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.