Founding AI Quality & Release Engineer
About The Position
Our client is a seed-stage enterprise AI company building autonomous data agents that execute complex engineering workflows inside customer-controlled cloud environments. Founded by early employees of a leading cloud data platform, the approximately 20-person team helps data organizations compress work that once took months into hours. This is the company's first dedicated quality-infrastructure hire. It is a software engineering role, not a traditional manual QA position. You will write code most days and own the verification and release system that carries every build from merge to customer. Roughly 70% of the role is AI-powered verification through agent-run test harnesses, LLM graders, regression coverage, flake management, and automated release gates. Roughly 30% is release and environment engineering across CI health, artifact publication, deployment pipelines, and reliable demo and staging environments.
Requirements
- 7 to 15 years in quality engineering, release engineering, platform engineering, developer productivity, SDET-adjacent engineering, or a similar software role.
- Production-quality Python and strong software engineering fundamentals.
- Deep fluency with GitHub Actions or an equivalent CI system.
- Genuine interest and practical judgment in LLM-driven and agent-driven verification.
- Experience with Docker, Kubernetes, Helm, AWS, cloud deployment mechanics, secrets, credentials, and certificates.
- High ownership and clear technical communication through runbooks, dashboards, retrospectives, and operating policies.
- Full work authorization in either the United States or Canada. Visa sponsorship and transfer support are not available.
Nice To Haves
- TypeScript
- Snowflake Native Apps
- Playwright
- LLM-as-judge or grader design
- Nondeterministic system testing
- Early-stage startup quality infrastructure
Responsibilities
- Eliminate silent skips
- Build fresh-install and upgrade verification
- Turn escaped bugs into permanent regression tests
- Expand natural-language UAT executed by coding agents
- Own release candidates and artifact publication
- Automate credentials and certificates
- Make release readiness visible through trusted system evidence
- Own the verification and release system that carries every build from merge to customer
- AI-powered verification through agent-run test harnesses, LLM graders, regression coverage, flake management, and automated release gates
- Release and environment engineering across CI health, artifact publication, deployment pipelines, and reliable demo and staging environments
Benefits
- Competitive equity and benefits
- Periodic team offsites and flexible hybrid access to the New York City office for local team members
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
