Backblaze External Website - QA Engineer, Open Source AI

• Execute structured test plans across open source repositories, sample applications, SDK extensions, and AI workflow integrations. • Perform functional, integration, and regression testing on frameworks, applications, notebooks, scripts, APIs, and reference implementations. • Validate reproducibility of AI workflows in Jupyter and Google Colab environments. • Test agent-generated code outputs to ensure correctness, determinism, and alignment with expected B2 usage patterns. • Identify defects, edge cases, and environment inconsistencies; document findings clearly in Jira, GitHub, or other QA systems. • Coordinate retest cycles with Engineering and confirm resolution of reported issues. • Maintain baseline test scenarios aligned to common ICP workflows and real-world B2 storage use cases. • Support CI validation processes to ensure ongoing test coverage across releases and updates. • Tools and Technologies: • Python, Jupyter notebooks, Google Colab • Backblaze B2 SDKs and REST APIs • Jira, TestRail, GitHub Issues • pytest or lightweight testing libraries • GitHub Actions and CI pipelines • API validation tools such as Postman • Basic command-line workflows • The Right Fit: • QA analyst or junior to mid-level QA engineer with strong technical understanding of AI workflows. • Experience executing functional and regression tests in Python-based environments. • Comfortable running notebooks, scripts, and example applications to validate expected behavior. • Strong attention to detail and ability to perform repeatable validation cycles efficiently. • Clear documentation and communication skills when reporting defects and edge cases. • Familiarity with cloud storage concepts and API-driven systems. • Exposure to AI workflows, agent-based systems, or data pipeline validation is preferred.