Job Description
We are looking for a Test Automation Software Engineer to join our Platform Infrastructure team. You’ll play a key role in ensuring the quality, reliability, and scalability of Anyscale’s distributed systems and developer platform.
In this role, you will design and build automated testing frameworks, integration systems, and test pipelines that validate the performance and resilience of our platform — from control plane orchestration to the execution of distributed AI workloads on Ray.
You will collaborate closely with infrastructure, cloud platform, and Ray open-source teams to ensure our systems meet the high reliability standards required for production-grade AI workloads.
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Responsibilities
Design and develop automated test frameworks for large-scale, distributed systems
Build end-to-end, performance, and integration tests for control and data plane components
Implement test pipelines to improve release velocity and reliability
Develop tools for cluster-level simulation, fault injection, and stress testing of Ray workloads
Collaborate with product and infrastructure engineers to ensure new features meet quality and scalability goals
Drive improvements in test coverage, observability, and reliability metrics
Support and optimize automated testing in Kubernetes, AWS, GCP, and Azure environments
Contribute to open-source Ray testing infrastructure and internal infinite laptop product quality
Participate in design and architecture discussions, code reviews, and system debugging


