Quality Automation Lead

Emploi pas sur LinkedIn

🕒 il y a 24 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

👻 Score fantôme 15%

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🗣️🇺🇸🇬🇧 Anglais requis

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Hubs.is

11 - 50 employés

Fondée en 2023

🏢 Entreprise

☁️ SaaS

🤖 Intelligence artificielle

Enterprise • SaaS • Artificial Intelligence

Hubs est un espace de travail AI axé sur l'entreprise qui fournit des outils et des flux de travail d'intelligence artificielle pour aider les équipes à créer, partager et étendre des processus alimentés par l'IA au sein d'une organisation. Il met en avant les activités d'équipe, les projets, les clients et les agents d'IA réutilisables qui automatisent des tâches telles que la génération de propositions, la surveillance des risques, les rapports aux clients et le suivi de pipeline. Hubs insiste sur l'importance de démarrer avec une invite, une source de données et un flux de travail qui peuvent être réutilisés et connectés à travers les équipes pour que la connaissance organisationnelle se renforce, améliorant ainsi l'adoption, la collaboration et la prise de décision. Le produit vise les entreprises cherchant à opérationnaliser l'IA au sein des flux de travail et des équipes, actuellement offert en accès anticipé.

Description

• Develop and own frameworks for continuous quality that operate as part of our automated, agentic software development pipeline, shifting quality left and making it self-sustaining. • Define a comprehensive QA strategy focused on reliability, scalability, and performance. Set quality metrics and lead continuous improvement. • Design and run tests that validate system uptime, load handling, latency, and degradation under stress — ensuring the platform is ready for scale. • Build and evolve automation frameworks to cover regression, integration, and performance testing, integrated into CI/CD pipelines. • Identify systemic risks, edge cases, and user-impacting issues — prioritizing what truly matters for product reliability. • Execute targeted tests for areas not yet automated and collaborate with developers on internal code correctness and optimizations. • Validate consistent functionality and performance across different browsers, devices, and environments. • Log, triage, and manage issues with a focus on root cause analysis and prevention. • Build frameworks for measuring AI output quality and stability, ensuring predictable behavior at scale. • Analyze outages, incidents, and escaped defects to strengthen system reliability and testing processes over time. • Advocate for quality as everyone’s responsibility and mentor others on testing and reliability best practices.

🎯 Exigences

• 5+ years in QA, with 2+ years in a senior/lead capacity driving systemic quality initiatives. • Strong background in reliability, load testing, and performance profiling — not just functional QA. • Proven experience building and scaling automated test frameworks, including performance and stress tests, fully integrated with CI/CD. • Ability to read logs, monitor metrics, and collaborate with developers to diagnose root causes of performance or stability issues. • Skilled at prioritizing risks, identifying failure modes, and recommending systemic fixes over one-off patches. • Excellent communicator who can align engineering, product, and leadership around quality goals and risk tolerance. • Comfortable iterating quickly while keeping quality and reliability high.

🏖️ Avantages

• A competitive salary • A chance for participation in upside via stock plans • Flexibility of a remote-first environment • Opportunity to work with passionate people who care deeply about craft, autonomy, and creating experiences users love

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