Developer Platform Engineer
Embedding VC29 days ago
Responsibilities
- Build module-level CI/CD pipelines that produce versioned Docker images and Kubernetes manifests with reproducible, hermetic, and deterministic builds.
- Implement SLSA attestations, artifact signing, dependency-chain verification, and Golden Signals validation in release pipelines.
- Develop a dependency graph database covering static and runtime dependencies for impact analysis.
- Build pull-request change-impact analysis, dependency-graph-based selective test orchestration, and review UI integrations.
- Implement ArgoCD and Flux GitOps deployment automation with reconciliation, staged promotion, monitoring, and rollback.
- Develop site provisioning scaffolding, self-service configuration tooling, and module version management workflows.
- Build security patch force-push automation, version drift visualization, changelog generation, and compatibility checking.
- Develop large-scale test orchestration with tagged test selection, parallel execution, and coverage-gap detection.
Requirements
- 6+ years of experience in backend, platform, infrastructure, or developer tools engineering.
- Strong proficiency in Go or Java/Kotlin, plus scripting experience in Python.
- Production experience developing CI/CD pipelines with 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 using 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.
- Preferred experience with AWS services such as CodePipeline, CodeBuild, Proton, and Service Catalog, or GCP services such as Cloud Build, Artifact Registry, and Cloud Deploy.
- Preferred experience building internal developer platforms or platform-as-a-service systems for engineering organizations.
- Preferred familiarity with supply-chain security tooling including Sigstore, in-toto, and SBOM generation.
- Preferred background working on developer platform teams at Stripe, Adyen, or Square.
Tech Stack
AWSBazelDockerGitHub ActionsGoGoogle Cloud PlatformGradleHelmJavaJenkinsKotlinKubernetesNeo4jPythonTekton
About Embedding VC
Embedding VC is an early-stage venture fund that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.