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Open nowPosted 44 days ago

Founding AI Quality & Release Engineer

Workable (global search)108,016 open roles

Where
Canada
Work mode
Remote
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Your applicationOpen nowFounding AI Quality & Release EngineerWorkable (global search) · Canada

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

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  2. 3.6%3 days
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  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 44 days ago

Workable (global search) median: 7 days open

The posting

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 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 have: TypeScript, 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.

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