Senior Software QA Engineer

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  Define risk-based test strategies for complex features and services; ensure traceability from requirements to test coverage.

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  Lead end to end workflow, integration, performance, and resiliency testing; optimize coverage using data-driven prioritization.

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  Design and maintain automation frameworks (UI, API, performance) for high-value scenarios, support test automation efforts that scale with the speed of AI-enabled development.

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  Diagnose multi-layer defects (client/service); apply hypothesis-driven debugging and telemetry analysis.

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  Demonstrate deep understanding of Fusion workflows and underlying technologies; translate into realistic test scenarios.

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  Perform root cause analysis and propose preventive measures; collaborate on design for testability.

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  Act as a quality multiplier: mentor P1/P2 engineers, share best practices, and contribute reusable tools.

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  Represent QA in planning/design reviews; influence acceptance criteria and risk decisions.

• Bachelor’s degree in computer science, engineering, mechanical, or equivalent experience.

• 6+ years in QA or software development with proven ownership of test strategy and automation.

• Strong troubleshooting skills across distributed systems

• Experience with test management and defect tracking tools

• Familiar with automation frameworks and scripting languages (Python or similar).

• Strong communication and interpersonal skills; ability to work effectively in a team.

• Familiarity with CAD concepts and willingness to learn quickly.

• Understanding of how AI/ML-powered features differ from traditional deterministic software.

• Ability to think critically about non-deterministic behavior, edge cases, and risk in AI systems.

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