Senior QA Engineer - Observability

Poland·Gdańsksenior

EngineeringQa Engineer

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Quick Summary

Key Responsibilities

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Requirements Summary

Balance your work and personal life with greater flexibility Comprehensive healthcare and dental cover: Premium medical and dental insurance,

Technical Tools

EngineeringQa Engineer

Salary Range: PLN 260,400 - 352,200

Subject to alignment to the responsibilities and duties of the role

About the Role

~1 min read

Make Graphcore’s observability platform dependable enough for the AI infrastructure it protects.

As a Senior QA Engineer in the Management & Observability team, you will validate Graphcore’s end-to-end telemetry platform. You will help ensure every metric, log, trace, dashboard, API and alert can be trusted at scale.

Your work will shape how quality is built into systems that monitor complex AI compute infrastructure. You will define test strategy, automate validation and expose issues before they reach production.

You will work across telemetry generation, collection, processing, storage, visualisation and alerting. You will build automated tests for distributed systems, production-like workloads and real operating conditions.

This role gives you ownership of quality in a platform where reliability, scale and engineering precision all matter.

You will work closely with telemetry and observability engineers from design through release. Quality is built early, through shared technical judgement and clear feedback.

The team moves by testing real assumptions, not waiting for perfect plans. You will have space to speak up, challenge designs and improve how releases are assessed.

Decisions are driven by evidence, root-cause analysis and practical engineering trade-offs. You will help set the standards that make Graphcore’s observability systems production-ready.

Experience designing automated test frameworks for distributed or infrastructure systems
Strong Python programming skills for functional, integration, system and regression testing
Experience testing Linux-based, cloud-native or containerised environments using Kubernetes or Docker
Understanding of CI/CD pipelines, API testing, networking and distributed system behaviour
Strong debugging and root-cause analysis skills for complex system-level issues
Familiarity with observability platforms, telemetry pipelines or time-series data

While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.

What We Offer

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✓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 (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

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.

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.