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.

You will 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, and make release readiness visible through trusted system evidence.

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 Git

Hub 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 transparent 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 have: Type

Script, Snowflake Native Apps, Playwright, LLM-as-judge or grader design, nondeterministic system testing, and early-stage startup quality infrastructure.

Benefits • $170,000 to $200,000 base salary, based on qualifications and experience. • Competitive equity and benefits. • Remote-first across the United States and Canada. • Periodic team offsites and flexible hybrid access to the New York City office for local team members. • High ownership over a founding technical function at a $5M-funded enterprise AI company.

📌 Founding AI Quality & Release Engineer (Canada)
🏢 Raydar
📍 Canada