Principle Software Engineer, AI Observability & Evals Platform

What You'll Do

Drive Technical Direction

• Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
• Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
• Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
• Help shape the product roadmap by partnering closely with product and design — not just executing on it

Raise the Bar for the Team

• Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
• Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
• Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines

Own Reliability and Quality

• Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
• Ensure system reliability through strong testing, monitoring, and alerting practices
• Create and maintain technical documentation, including system design docs and API references

What You'll Bring

• 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
• Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
• Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
• Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability
• Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale
• Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
• Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
• Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads
• You exemplify our operating principles

Nice to Have

• Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
• Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure

Salary Range

$230,000 - $270,000