QA Automation Engineer

About the role

We are looking for a Senior QA Automation Engineer to drive quality for our AI infrastructure platform. You will help define how we test scheduler and simulator behavior, what we automate, and how quality gates become part of everyday development and release workflows.

Responsibilities

• Design, build, and maintain automated tests across scheduler, simulator, APIs, backend services, frontend workflows, integrations, and system-level scenarios.
• Develop reliable regression, smoke, integration, end-to-end, and release test suites that run in CI/CD pipelines and validate Kubernetes-based deployments.
• Test AI infrastructure workflows for GPU datacenters, heterogeneous resource allocation, configuration changes, failure scenarios, monitoring signals, and rollback behavior.
• Perform manual exploratory, functional, and regression testing where automation is not yet available or where senior judgment is required for complex infrastructure behavior.
• Collaborate with engineers, product managers, and platform teams to define test strategy, quality criteria, release readiness, reproducible simulation scenarios, and customer-environment risk areas.
• Analyze test results, investigate failures, distinguish product defects from environment, infrastructure, data, or test issues, and drive root-cause resolution.
• Improve CI/CD quality gates, test reporting, flaky-test handling, test data management, environment validation, and automated checks for Kubernetes deployments.
• Contribute to test framework architecture, tooling choices, Python coding standards, and maintainable automation practices.

Required skills

• Test automation
• Java
• Python
• Pytest
• Kubernetes
• CI/CD
• Linux
• API testing
• Manual testing

Nice to have

• AI infrastructure
• GPU platforms
• Docker
• Terraform
• Helm
• Observability
• Networking
• Performance testing
• Load testing
• Chaos testing