Senior QA Engineer - Observability

Salary Range: PLN 260,400 - 352,200 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 2-3 Days per week in office   About Graphcore 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.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.   Job Summary  As a Senior QA Engineer within the Management & Observability team, you will be responsible for validating Graphcore's end-to-end telemetry and observability platform. Working closely with Telemetry and Observability engineers, you will design, develop and automate comprehensive test strategies covering telemetry generation, data collection, processing, storage, visualization and alerting. Your work will ensure that Graphcore's observability solutions are reliable, scalable and production-ready for both internal engineering teams and customers. You will contribute throughout the software development lifecycle by defining quality standards, building automated test frameworks and validating distributed systems operating at scale.   Responsibilities and Duties Define and implement the end-to-end quality strategy for Graphcore's telemetry and observability platform. Design, develop and maintain automated functional, integration, system and regression tests covering the complete telemetry lifecycle - from telemetry generation to dashboards, APIs and alerting. Develop automated validation frameworks for telemetry pipelines, data quality, metrics, logs, traces and time-series data. Design realistic test environments capable of validating large-scale distributed deployments and production-like workloads. Work closely with software engineers throughout design and implementation to ensure testability, reliability and quality are built into every component. Validate performance, scalability, resilience and fault recovery of telemetry and observability solutions under realistic operating conditions. Integrate automated testing into CI/CD pipelines and continuously improve test coverage, execution time and release quality. Investigate defects through root-cause analysis, working with engineering teams to resolve complex system-level issues. Develop quality metrics, test reports and release readiness criteria to support engineering and product decisions. Contribute to continuous improvement of testing methodologies, automation frameworks and engineering best practices.   Skills and Experience  BSc or MSc degree in Computer Science, Computer Engineering or equivalent practical experience. 5–8 years of experience in Software QA, Test Automation or Software Engineering. Experience designing automated test frameworks for distributed systems. Experience testing cloud-native or infrastructure software running on Linux. Experience with Python programming. Experience building automated integration and system tests. Familiarity with CI/CD platforms and automated testing pipelines. Experience with Kubernetes, Docker and containerized environments. Understanding of distributed systems, networking and API testing. Experience validating REST and gRPC APIs. Strong debugging and root-cause analysis skills. Excellent written and verbal communication skills. Desirable: Experience testing observability platforms based on Prometheus, Grafana, OpenTelemetry, ClickHouse, Kafka or Elastic Stack.  Experience validating telemetry pipelines and large-scale time-series data.  Experience with performance, scalability and resiliency testing.  Familiarity with Infrastructure as Code technologies such as Terraform or Ansible.  Experience testing AI infrastructure, HPC platforms or cloud infrastructure.  Experience with one additional programming language such as Go or C++. Knowledge of modern observability practices including metrics, logs and distributed tracing.   Benefits In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal