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Remote role, metro location, and broadly attractive mid-level SDET profile increase applicant competition.
Core SDET skills transfer across industries, though GenAI and energy domain preferences moderately increase specialization.
Explicit 5–8 years requirement plus mandatory GenAI, Java/Python, and CI/CD expertise creates strict filters.
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Own test strategy and execution for complex product areas including API, backend, and integration layers focused on risk-based quality assurance.
Design, build, and maintain automation frameworks; write production-grade test code in Java/Python; integrate tests into CI/CD pipelines, enforcing quality gates.
Lead adoption and practical application of GenAI tools in testing workflows to improve efficiency, coverage, and failure analysis.
5–8 years of software quality engineering experience with ownership of quality for complex features/services.
Strong hands-on expertise in test automation and framework design using Java and/or Python, including API and backend testing.
Proven experience integrating automated tests into CI/CD pipelines and enforcing quality gates.
Practical, demonstrable experience using GenAI tools as part of SDET/testing workflows is mandatory.
Experienced SDET with deep knowledge of distributed systems and microservices testing, capable of taking end-to-end quality ownership.
Technically proficient in automation framework architecture, test design techniques, and CI/CD integrations with focus on scalable, maintainable solutions.
Advanced user of AI-assisted testing tools with a track record of integrating emerging GenAI capabilities for measurable quality improvements.