Principal Software Engineer (GTMO/Mesh)

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