Staff QA Engineer

Responsibilities

• Design, develop, and maintain automated test suites for Kubernetes integration components
• Develop end-to-end, integration, and system tests to validate scheduling and resource allocation within Kubernetes clusters
• Identify, document, and track defects, working closely with engineering teams to investigate root causes and validate fixes
• Contribute to design of CI/CD pipelines
• Validate scalability, performance, and reliability of workload orchestration
• Improve test coverage, test stability, and observability across distributed system components
• Collaborate with development teams to define quality standards, test strategies, and validation plans early in the development lifecycle
• Contribute to the evolution of QA automation frameworks, tooling, and testing practices across the organization
• Mentor and support other QA engineers, providing guidance on automation, debugging, and testing best practices

Requirements

• Strong programming experience in Python
• Hands-on experience with Robot Framework or similar automation frameworks
• Experience testing cloud-native systems and containerised environments
• Strong understanding of Linux systems
• Experience with CI/CD systems such as GitLab CI or GitHub Actions
• Experience testing distributed systems
• Ability to debug complex issues across multiple system layers (Kubernetes, infrastructure, applications)
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

Preferred Qualifications

• Experience validating Kubernetes integrations
• Understanding of AI training and inference workloads and their orchestration requirements

Benefits

• Competitive salary
• Annual leave policy
• Medical and dental health plans
• Gym card
• Employee pension (matched up to 4%)

About the Company

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.