Staff Engineer, Engineering Productivity & AI Quality

Harper is a rapidly growing company focused on transforming the commercial insurance industry through AI technology. They are seeking a Staff Engineer to enhance engineering productivity and AI quality by building systems that improve developer experience and ensure code quality across their platform.

Responsibilities:

• CI/CD quality gates across Harper's most critical services - Define the minimum bar before code can merge
• Integration test harnesses anchored to real failure modes - Every repeated operational failure becomes a regression test, a validation, or an architecture rule
• The agent harness substrate - Sandbox lifecycle, tool routing, prompt/context layer, model-provider abstraction, multi-agent coordination
• Repo-level agent instructions and context hygiene - AGENTS.md per repo, canonical data model docs, banned patterns. The information environment our coding agents read
• Automated PR preflight - Service impact summary, tests run, missing tests, model/migration changes, critical-path warnings. The robot that reviews every PR before a human does
• Architecture-rule enforcement - Custom lints and structural tests that encode the CTO's taste mechanically. Once a rule is written down, it never has to be argued in PR comments again
• Eval framework infrastructure - Pre-merge eval gating, experiment runs against curated datasets, production trajectory monitoring. All three wired together
• Engineering metrics that matter - Rework rate, escaped defects, flaky test count, deploy rollbacks, time-to-confident-ship, AI-generated PR quality. Anti-vanity. Anti-LOC