Publié il y a 3 mois
Founding AI Quality & Release Engineer
@ Raydar
Télétravail au Canada
En bref
Raydar, a seed-stage enterprise AI company building autonomous data agents for customer cloud environments, is hiring a founding AI Quality & Release Engineer. The role is roughly 70% AI-powered verification (agent-run test harnesses, LLM graders, regression coverage, release gates) and 30% release and environment engineering. Base salary is $170,000 to $200,000, the role is remote-first across the United States and Canada, and it is full-time.
Responsabilités :
- Own verification and release system for every build
- Build AI-powered test harnesses, LLM graders and regression coverage
- Eliminate silent skips and build fresh-install and upgrade verification
- Own release candidates, artifact publication and automated release gates
- Automate credentials and certificates across environments
Résumé des exigences :
- 7 to 15 years in quality, release, platform or software engineering
- Production-quality Python and strong software engineering fundamentals
- Deep fluency with GitHub Actions or equivalent CI
- Experience with Docker, Kubernetes, Helm and AWS
- Interest in LLM-driven and agent-driven verification
- Full US or Canadian work authorization
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-20
- Première détection par notre source
- 2026-10-22
- Mise à jour du dossier source
- 2026-10-22
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 7 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Horaire flexible, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Raydar
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Creating solutions for the future
Description complète de l’entreprise
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
- Abonnés LinkedIn
- 77 412
- Personnes associées sur LinkedIn
- 28
- Bureaux déclarés
- 1514 17th St, 205, Santa Monica, California 90404, US
- Autres noms enregistrés
- Raydar
- Le profil indique une agence de recrutement
- Non
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 11-50 employees |
| Siège social | Santa Monica, California |
| Type d’organisation | Privately Held |
| Fondée en | 2021 |
| Offres sur Jobsy | 32 |
| Voir la page |
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.
Journal
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