Staff QA Engineer - Workload Management
Core
Build quality foundations for Kubernetes systems powering next-generation AI compute and validate workload management stacks for new AI accelerator hardware.
Role type
Staff QA Engineer (Workload Management)
Builds
Kubernetes integrations, automated test suites, and CI/CD quality practices for distributed AI compute infrastructure.
Domain
AI compute infrastructure / Kubernetes / Cloud-native systems
Deliverable
production ML models | infrastructure
Required skills
Python programming, Robot Framework (or similar automation frameworks), testing cloud-native/containerized/distributed systems, Linux debugging, CI/CD systems (GitLab CI/GitHub Actions), defining quality standards and test strategy
Preferred skills
mentoring QA engineers, influencing test strategy across development lifecycle
Technologies
Kubernetes, Robot Framework, GitLab CI, GitHub Actions, Linux
Responsibilities
Design automated test suites and integration tests, debug issues across Kubernetes and infrastructure layers, improve CI/CD quality practices, mentor other QA engineers, define quality standards and validation plans
Seniority
Staff, hands-on IC with mentorship responsibilities