Senior QA Engineer - Observability

Salary Range: PLN 260,400 - 352,200 +

Benefits

+ Equity Subject to alignment to the

Responsibilities

and duties of the role. 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.

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.