QA Engineer, Open Source AI
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Job Description
QA Engineer validating open source AI integrations on Backblaze B2 Cloud Storage. Ensuring reliability and correctness in rapidly tested AI workflows and applications.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- Competitive compensation and benefits.
- Remote-first culture supporting work-life balance.
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