Requirements
- Advanced proficiency in TypeScript and Node.js with strong software architecture fundamentals
- Hands-on experience designing and shipping REST and GraphQL APIs in production
- Hands-on experience building or extending Backstage — plugin development, catalog model, software templates, and TechDocs
- Strong proficiency with PostgreSQL and Redis; MongoDB familiarity is a plus
- Experience with Kubernetes (GKE) and GCP — deployment, scaling, and production troubleshootingHands-on experience with ArgoCD, Helm, and GitHub Actions
- Working proficiency with Terraform for cloud infrastructure management
- Practical experience integrating LLMs into production services; familiarity with MCP or Agentic AI patterns
- Bachelor's degree in Computer Science or related field
- 5+ years in Software Engineering with experience building Internal Developer Platforms or Platform/Infrastructure tooling
What the job involves
- ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life
- You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast
- Design & Develop: Build and own services across our 20+ microservice Backstage platform using TypeScript and Node.js, exposing REST and GraphQL APIs consumed by other services and the Backstage frontend
- Catalog & Entity Pipeline: Own the Backstage catalog and ingestion pipeline that syncs entities from Helm, ArgoCD, GCP, and GitHub — nightly and on-demand
- Developer-Facing Features: Extend the platform with engineering maturity scoring, change management workflows, AI-generated reports, and test management tooling
- AI Integration: Develop LLM-powered services and MCP servers that make catalog and engineering data accessible to humans and AI agents
- Operational Excellence: Own service reliability on GKE via ArgoCD GitOps, PostgreSQL and Redis datastores, and Datadog monitoring — including incident response and runbook ownership.Collaborate: Partner with engineering, governance, architecture, and infrastructure teams to translate needs into catalog models, golden paths, and self-service tooling
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