Principal Software Engineer
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 job
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
React, TypeScript, GCP, Kubernetes, Cloud Functions, Pub/Sub, Postgres, MongoDB, Redis, LLMs, Temporal, Pinecone, Pgvector, GitHub Actions
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