• Test development: Maintain and extend the existing Selenium-based E2E automation suite; improve stability, coverage, and execution efficiency over time. Identify opportunities to introduce automation at additional layers — API, integration, or component — as the team's practices evolve. • Observability for tests: Instrument logs/metrics/traces, define SLIs/SLOs, and build dashboards for build health and flake rates. • Shift-left collaboration: Drive testability discussions with product and engineering; shape acceptance criteria, identify gaps early in design, and influence how features are built to support automated verification. • Hands-on coding: Write clean, maintainable C#/.NET code in both product and test repositories; architect test harnesses, utilities, and shared libraries with longevity in mind. • Test data: Define and implement test data strategies for the team — seeding, anonymization, and repeatable fixture management. • CI/CD quality gates: Design and implement YAML-based pipeline stages in Azure DevOps; take ownership of quality gate configuration, artifact management, and test execution scheduling within the pipeline. • Cloud & infrastructure: Develop working knowledge of AWS-hosted environments; take increasing ownership of environment configuration and infrastructure practices as the team scales its cloud footprint. • Documentation: Produce and maintain documentation for automation frameworks, test processes, and runbooks; raise the floor for the team's collective knowledge.

• Conduct mobile network measurements (e.g., in buildings, streets, stadiums, and trains) using state-of-the-art measurement backpacks • Operate and drive a specialized vehicle for national and international measurement campaigns to assess network quality • Operate and monitor measurement software • Check system performance and independently resolve minor technical issues • Maintain close communication and coordination with the back-office team during measurement activities

• Design, develop, and maintain a robust automated testing framework from the ground up that supports distributed AI training and inference workloads. • Develop complex test plans that go beyond unit tests, focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions. • Partner closely with System Engineers to debug deep-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.

• Produce and maintain automated regression tests for the applications API's and the UI • Manual exploratory testing across the entire application stack • Ensuring Stories meet the acceptance criteria • Ensuring the product meets expectations with regards to stability and performance • Report and track defects • Continually evaluating the test automation approach looking for improvements • Contributing to backlog refinement sessions to provide an estimation of test effort for new and updated features (stories) • Working closely with members of the Scrum team to plan, manage and complete work on time and to a sufficient quality • Creating and maintaining any necessary test documentation