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Principal Software Engineer

164k – 257kUnited StatesRemote12+ YOE
Summary

Principal engineer owning full-stack features on Mesh, ZoomInfo's internal AI platform. Builds AI agents, workflows, microapps, and SDKs while mentoring engineers and maintaining production reliability.

About the role

What you'll be doing

  • Owning features across the full stack — React frontends, backend APIs, cloud infrastructure — from design through production
  • Responding to production incidents and shipping fixes
  • Building and improving core platform capabilities: AI agents, orchestration workflows, microapp infrastructure, LLM integrations
  • Developing SDKs and tooling for engineers who build on top of Mesh
  • Championing quality and reliability — tests, coverage, habits that prevent regressions
  • Collaborating across teams and supporting users directly through our Slack support channels
  • Mentoring engineers through code reviews and technical guidance

Why Mesh

  • Small team, real impact — your contributions are visible and your opinions carry weight
  • We use AI tools heavily in our own workflow — Claude Code, AI-assisted code review, LLM-powered automation
  • Distributed systems, LLM reliability, workflow orchestration, real-time integrations — the problems are hard and varied
  • We move fast and we're getting smarter about how we do it

What you'll bring

  • 12+ years of software engineering experience with a track record of delivering reliable, scalable systems
  • Strong full-stack skills — React/TypeScript, backend services, cloud infrastructure
  • Experience building in a cloud-native environment, preferably GCP — Kubernetes, Cloud Functions, Pub/Sub, managed databases
  • Solid understanding of SQL and NoSQL databases — Postgres, MongoDB, Redis
  • Experience owning production systems — logs, incident triage, fixes under pressure
  • A real commitment to software quality — testing strategy, code review, regression prevention
  • Security awareness built into how you work
  • You disagree and commit — push back when something is wrong, but don't relitigate once a decision is made
  • Clear communication and experience in fast-moving, high-ownership environments

Preferred

  • Experience with LLMs — Claude, GPT, Llama — and building applications on top of them
  • Familiarity with context engineering and RAG patterns
  • Experience with MCP or AI tool integrations
  • Experience with Temporal or similar workflow orchestration systems
  • Experience with vector databases — Pinecone, pgvector, etc.
  • Experience building developer-facing SDKs or platform tooling
  • Experience with CI/CD pipelines, particularly GitHub Actions
Skills
ReactTypeScriptGCPKubernetesCloud FunctionsPub/SubPostgresMongoDBRedisLLMsTemporalPineconepgvectorGitHub Actions
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