Principal Software Engineer (GTMO/Mesh)

Remote-US-CAfull timeRemote

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senior

H1B: yes

Zoominfo Principal Software Engineer at ZoomInfo working on the Mesh internal AI platform, owning full stack features from design through production. Responsible for building core platform capabilities including AI agents, orchestration workflows, and LLM integrations.

Responsibilities

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
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:

Qualification

Experience with LLMs — ClaudeExperience with CI/CD pipelines

Required

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 reviews

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
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

Benefits

Equity/RSU

Company

Zoominfo

View company page

5001-10000 employees

Communication

Founded 2011

Source: greenhouse

Active within the past hour

Remote-friendly

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