Senior QA Engineer

Graphcore; Gdańsk; Hybrid; PLN 260,000 - 352,000; Full time

Benefits offered by this job

Flexible working

Healthcare and dental cover

Phantom equity

Medicover gym card

Death and disability insurance

Retirement savings with 4% employer

Employee Assistance Programme

Job summary

Graphcore in Poland is seeking a Senior QA Engineer to build quality foundations for Kubernetes systems powering next-generation AI compute. You will validate the workload management stack, ensure reliable cloud-native tests, and develop automated suites for complex distributed environments.

This hybrid role requires at least three days weekly in the Gdańsk office. You will drive test strategy, automation practices, and collaborate across software, infra, and QA to deliver reliable products with

Qualifications

• Strong Python programming experience for automation and testing.
• Hands-on experience with Robot Framework or equivalent.
• Experience testing cloud-native, containerised or distributed systems.
• Solid Linux and Kubernetes understanding with debugging across layers.
• Familiar with CI/CD workflows (GitLab CI, GitHub Actions).
• Ability to raise quality standards and support other QA engineers.

Responsibilities

• Design and develop automated test suites and integration tests.
• Validate workload management and Kubernetes integrations for AI compute.
• Improve CI/CD quality practices and test coverage.
• Investigate and debug issues across Kubernetes, infra and app layers.
• Mentor and guide less experienced QA engineers.

Skills

Python programming

Robot Framework

Linux & Kubernetes

CI/CD (GitLab CI/GitHub Actions)

Cloud-native / distributed testing

Test automation & coverage

Tools

GitLab CI

GitHub Actions

Job description

Senior: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role

About the job

Build quality foundations for Kubernetes systems that power next‑generation AI compute. As a Senior QA Engineer, you will validate the workload management stack for new AI accelerator hardware. You will help ensure that Kubernetes integrations are reliable, scalable and ready for production use. Your work will support how accelerators are scheduled, orchestrated and used across distributed environments. You will test systems that make complex AI compute infrastructure dependable for real users. You will design and develop automated test suites, build system and integration tests, and contribute to improving CI/CD quality practices. You will also investigate and debug issues across Kubernetes, infrastructure and application layers. This role is for someone who enjoys hands‑on technical testing, automation and working close to complex distributed systems. This is a hybrid position, with at least three days each week in our Gdańsk office.

The team and culture

You will join the Workload Management team, working closely with software engineers, infrastructure specialists and other QA engineers. The work is practical, systems‑focused and based on strong technical ownership. Quality is built early here, not checked only at the end. You will contribute to test strategy, validation planning and automation practices throughout the development lifecycle. The team works through open technical discussion and evidence‑based decisions. You will be encouraged to speak up on quality risks, improve test coverage and help turn complex systems into reliable products. As a senior member of the QA team, you will also support less experienced engineers through technical guidance, code reviews and sharing good testing practices.

What we’re looking for

• Strong Python programming experience, with a focus on automation and test engineering.
• Hands‑on experience with Robot Framework or similar automation frameworks.
• Experience testing cloud‑native, containerised or distributed systems.
• Strong Linux and Kubernetes understanding, with confidence debugging across multiple system layers.
• Experience with CI/CD systems such as GitLab CI or GitHub Actions.
• Ability to improve test coverage, raise quality standards and support other QA engineers.
• While we have outlined a set of requirements, we value transferable skills and diverse experiences.
• We also welcome engineers returning to the profession after a career break, including through returnship routes.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility.
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family.
• Phantom equity: Share in Graphcore’s success.
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres.
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones.
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions.
• Employee Assistance Programme: Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters.

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We are an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.

Sponsorship

Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to make next‑generation AI compute more reliable at scale, we’d love to hear from you.