Founding AI Quality & Release Engineer

Raydar; United States; Teletrabalho; USD 170 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive equity and benefits

Remote-first with US/Canada coverage

Resumo da oferta

Raydar is hiring a quality infrastructure engineer to build and own the verification and release system for autonomous data agents. You will implement AI-driven test strategies, agent-based verification, and regression coverage while maintaining CI health and deployment pipelines.

The role is remote-first across the United States and Canada, with opportunities for hybrid access to a NYC-area office. A strong Python background and GitHub Actions expertise are essential.

Qualificações

• 7–15 years in quality engineering, release engineering or related software roles.
• Production-quality Python and strong software fundamentals.
• Deep fluency with GitHub Actions or equivalent CI.
• Experience with Docker, Kubernetes, Helm, AWS and cloud deployment.
• Clear technical communication via runbooks, dashboards and policies.

Responsabilidades

• Own verification and release system from merge to customer.
• Lead AI-powered verification via agent-run tests and LLM graders.
• Manage CI health, artifact publication, deployment pipelines.
• Automate credentials, certificates, and release readiness evidence.
• Build testing coverage and durable regression tests.

Conhecimentos

Python

GitHub Actions

Docker

Kubernetes

Helm

AWS

TypeScript

Playwright

LLM-grader design

SDET-adjacent engineering

Ferramentas

Docker

Kubernetes

Helm

AWS

GitHub Actions

Playwright

Snowflake Native Apps

Descrição da oferta de emprego

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.

• 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.

• $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.