Software Engineer (Quality & Automation)

Join our team as a Software Engineer (Quality & Automation) where you'll own quality and automation for large enterprise deployments. You'll work closely with customers and our internal engineering team to develop a world-class QA function. This role is centered around using agentic tooling to streamline the repetitive work of finding, reproducing, and resolving issues. You'll also be responsible for bug reporting and communication, improving internal automated testing, and supporting evaluation efforts. Depending on your experience, you may join at various levels, from executing against this scope to setting quality and automation standards across engineering.

• Assurer la qualité et l'automatisation des déploiements d'entreprise à grande échelle, en utilisant des outils agentiques pour automatiser les tâches répétitives.
• Collaborer avec les clients et l'équipe d'ingénierie interne pour développer une fonction de contrôle qualité de classe mondiale, en intégrant profondément les processus du client.
• Diriger les efforts d'automatisation pour la gestion des bogues, y compris le triage, la reproduction et le routage, en utilisant des outils agentiques.

• Strong with customers: you can sit with a frustrated enterprise user, understand their process, and be the person they trust to get it resolved
• High ownership and comfortable with ambiguity. Nobody hands you the list of what to test or what to automate first
• Genuinely collaborative across the organization: you'll work daily with engineers, PM, support, and customer-facing teams, and treat that as the best part of the job
• Able to internalize a hard domain fast. You don't need to know audit, but you'll learn enough to know what "broken" means to an auditor
• Comfortable across the stack and across environments spanning application code, CI, and the deployment differences that make "works on SaaS" not mean "works everywhere"
• You think in trends, hotspots, and severity, not anecdotes, and you can tell a clear story from a messy bug backlog
• An engineer who fixes what you find. You're comfortable in the codebase and you'd rather ship the fix than hand it off
• AI-native in how you work: you treat agentic tooling as core leverage for the unglamorous parts of quality, and you've used it on real work rather than just tried it
• Production software engineering experience — you write and ship code, not only tests
• Comfort operating in ambiguity and owning outcomes without a defined queue
• Experience working directly with customers or enterprise users on issues they care about
• Hands-on experience building test automation and CI quality gates that engineers actually rely on
• Real use of AI or agentic tooling as part of how you work
• Python, TypeScript, React, Postgres, Hasura, GraphQL
• E2E and integration frameworks such as Playwright or Cypress
• Infrastructure exposure for environment parity work — AWS, Kubernetes, Terraform
• Experience with both multi-tenant SaaS and single-tenant or self-managed enterprise deployments
• Observability and tracing tooling such as Datadog
• Performance and load testing, especially on long-running workflows
• Security and compliance environments (SOC 2, FedRAMP, or similar)
• Background in audit, accounting, financial services, or another regulated domain
• Experience building agentic workflows or internal tooling with LLMs