Software Engineer, Test Automation

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250 million raised to date.

About the role:

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.

• 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

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  

• 3 years of experience in software test automation or infrastructure engineering
  

• Strong coding skills in Python (Go experience a plus)
  

• Experience building test frameworks or automation for distributed systems, microservices, or cloud-native applications
  

• Familiarity with Kubernetes, Docker, and CI/CD systems (GitHub Actions, Jenkins, Buildkite, or similar)
  

• Proficiency with cloud platforms (AWS, GCP, or Azure)
  

• Knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry
  

• Understanding of networking, security, and system reliability concepts
  

• A passion for improving developer experience, product stability, and system performance

• Collaborate with top engineers in distributed systems and AI infrastructure
  

• Work on technology used by leading AI companies around the world
  

• Meaningful impact on both open-source and enterprise-grade systems
  

• Competitive compensation, equity, and benefits package

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

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