Principal Software Engineer (GTMO/Mesh)

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.

Mesh is ZoomInfo's internal AI platform. Thousands of employees use it every day — to run AI agents, build automated workflows, create microapps, and connect to the tools they already work in. It's a platform with a lot of moving parts, and a small engineering team that owns all of them.

We're looking for a Principal Software Engineer who raises the bar on how we ship, not just what we ship.

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

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