Join Graphcore as a Senior QA Engineer to enhance the reliability of its observability platform for AI infrastructure.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 5 days ago
Skills & Technologies
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior QA Engineer at Graphcore, the individual will focus on validating the company's observability platform, ensuring that all telemetry components are reliable and scalable. Key skills include strong Python programming for automated testing, experience with distributed systems, and familiarity with CI/CD processes and cloud environments. This position is ideal for someone with a solid background in QA for complex systems, looking to influence quality standards in a cutting-edge AI infrastructure team.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Graphcore's career page.
- Graphcore has 196 other open roles including Senior Workplace Coordinator - Bengaluru, Technical Programme Manager , Manufacturing Operational Excellence Manager.
- 6527 active Python roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- 1032 active Docker roles on Joblaze right now.
- Pays more than 2% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Graphcore lists PLN 260,400–PLN 352,200 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Docker, Kubernetes, Python.
- What seniority level is this role?
- Graphcore targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior QA Engineer - Observability role at Graphcore.
From the original posting
Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level.
About the job
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.
The team and culture
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.
What we’re looking for
- 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.
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 (EAP): 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’re 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 raise the quality bar for AI infrastructure observability, we’d love to hear from you. Apply now to be part of the journey.