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.
Skills Required
- 7 to 15 years of experience in quality engineering, release engineering, platform engineering, developer productivity, SDET-adjacent engineering, or a similar software role
- Production-quality Python experience
- Strong software engineering fundamentals
- Deep fluency with GitHub Actions or an equivalent CI system
- Practical experience with 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 the United States or Canada
- TypeScript experience
- Snowflake Native Apps experience
- Playwright experience
- LLM-as-judge or grader design experience
- Nondeterministic system testing experience
- Early-stage startup quality infrastructure experience
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
