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
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)
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
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
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
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
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
Develop the version management console: module version status, version drift visualization across all sites, batch upgrade workflows, automated changelog generation, compatibility checking before deployment
Implement the security patch force-push pipeline: automated SECURITY-REQUIRED PR creation across all site repos with SLA tracking and escalation triggers
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
6+ years in backend / platform / infrastructure / developer tools engineering
Strong proficiency in Go (primary) or Java/Kotlin, with scripting in Python
Production experience with CI/CD pipeline development: GitHub Actions, Tekton, Jenkins, or custom pipeline orchestrators
Hands-on with GitOps tooling: ArgoCD, Flux, Kustomize — at scale (10+ clusters/environments)
Experience with Kubernetes: operators, custom controllers, CRDs, Helm chart development
Solid understanding of container registries and artifact management (Harbor, ECR, Artifactory)
Experience with build systems: Bazel, Gradle, or equivalent — reproducible builds, remote caching, build graph optimization
Background in dependency analysis tooling or graph databases (Neo4j, Dgraph, or custom implementations)
Preferred: Experience at AWS (CodePipeline, CodeBuild, Proton, Service Catalog) or GCP (Cloud Build, Artifact Registry, Cloud Deploy)
Preferred: Background at Stripe, Adyen, or Square in developer platform teams
Preferred: Experience building internal developer platforms (IDP) or platform-as-a-service for engineering organizations
Preferred: Familiarity with supply chain security tooling (Sigstore, in-toto, SBOM generation)
Skills Required
- 6+ years of experience in backend, platform, infrastructure, or developer tools engineering
- Strong proficiency in Go or Java/Kotlin, with Python scripting experience
- Production experience developing CI/CD pipelines using GitHub Actions, Tekton, Jenkins, or custom pipeline orchestrators
- Hands-on experience with ArgoCD, Flux, and Kustomize at scale across 10+ clusters or environments
- Experience with Kubernetes operators, custom controllers, CRDs, and Helm chart development
- Understanding of container registries and artifact management, including Harbor, ECR, or Artifactory
- Experience with Bazel, Gradle, or equivalent build systems, including reproducible builds, remote caching, and build graph optimization
- Background in dependency analysis tooling or graph databases such as Neo4j or Dgraph
- Experience with AWS developer platform services or GCP developer platform services
- Background working at Stripe, Adyen, or Square in developer platform teams
- Experience building internal developer platforms or platform-as-a-service solutions for engineering organizations
- Familiarity with supply chain security tooling such as Sigstore, in-toto, and SBOM generation
What We Do
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
