Quality and reliability engineer for AI cloud solutions, combining testing, SRE, and observability.
Own production readiness for cloud-based AI applications by designing automated testing frameworks for AI model outputs, implementing resilience and chaos engineering practices, and building observability dashboards. Requires deep Python expertise, hands-on cloud infrastructure knowledge (Azure/AWS), and understanding of AI model evaluation techniques. The role spans QA automation, SRE responsibilities, CI/CD integration, and compliance testing for banking-grade systems.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 29 September 2026 · InsideJobs links you to the original posting.