Quality Automation Lead

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Hubs.is

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2023

🏢 Corporativo

☁️ SaaS

🤖 Inteligência Artificial

Enterprise • SaaS • Artificial Intelligence

Hubs é um espaço de trabalho de IA focado em empresas que oferece ferramentas e fluxos de trabalho de IA agentiva para ajudar equipes a construir, compartilhar e escalar processos habilitados por IA em toda a organização. Ele destaca atividades da equipe, projetos, clientes e agentes de IA reutilizáveis que automatizam tarefas como geração de propostas, monitoramento de riscos, relatórios para clientes e acompanhamento de pipeline. A Hubs enfatiza começar com um prompt, uma fonte de dados e um fluxo de trabalho que pode ser reutilizado e conectado entre equipes para que o conhecimento organizacional se expanda, melhorando a adoção, colaboração e tomada de decisão. O produto é voltado para empresas que buscam operacionalizar a IA dentro de fluxos de trabalho e equipes, sendo oferecido atualmente em acesso antecipado.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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