Test Engineer (SDET)
LogicGate
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About LogicGate LogicGate is the leading AI GRC platform for the Enterprise, helping governance, risk, and compliance teams limit surprises, strengthen resilience, augment program performance, and confidently quantify impact and business value. Built to provide a centralized view of risk and complia nce, with AI intelligence woven into the platform's core, LogicGate delivers real-time insights and actionable data to help drive current business decisions, with the flexibility to scale alongside evolving business needs. Recognized as a Leader in the GRC Market, LogicGate continues to further solidify its position as a best-in-class platform. The GRC Market Governance, Risk, and Compliance (GRC) is a rapidly expanding sector, with a global market size projected to reach $104.5 billion by 2031. LogicGate is at the forefront of this industry transformation, empowering enterprise professionals to navigate complex regulatory environments, manage critical uncertainty, and operate with integrity at scale. Software Engineer: Test (SDET) Location: Remote or Bellevue, WA (Hybrid), or Chicago, IL (Hybrid) About the Role As a Software Engineer: Test at LogicGate, you will build and scale the automated testing frameworks, pipelines, and tools that guarantee the reliability of the Risk Cloud platform. AI is central to how you work: you are expected to embed AI-driven tooling across test authoring, regression analysis, and coverage expansion to compress delivery timelines and raise the precision of everything you ship. You will design robust automation suites, expand test coverage across the ecosystem, and systematically isolate complex software regressions. This role is ideal for an engineering-focused QA professional who treats AI as a core part of their craft, takes operational ownership of quality boundaries, and establishes data-driven testing strategies across our platform. What You’ll Do Automation Engineering: Design, build, and maintain scalable automated testing frameworks and end-to-end regression suites using TypeScript and Playwright, augmented by AI-driven code generation, to take validation tasks from requirements through continuous deployment. Testing Pyramid Validation: Write clean, understandable automation code to validate backend APIs and integration layers, strictly adhering to the testing pyramid to ensure a highly stable and dependable deployment lifecycle. Swarm Testing & Edge Cases: Actively contribute to and expand team testing efforts, systematically validating edge cases, error conditions, and happy paths while guiding the broader Engineering Department and QA Analysts on automated testability best practices. Systematic Debugging: Independently diagnose and isolate test automation failures and platform defects by reading distributed system logs, analyzing API console data, and utilizing AI-powered Datadog monitoring patterns to accelerate root-cause resolution. Technical Documentation: Author clear technical documentation within the codebase and Confluence, including test strategies, automation runbooks, and detailed defect reports to support collective engineering knowledge sharing. Test Data Infrastructure: Work operationally with relational databases (PostgreSQL) and advanced platform data stores, utilizing AI tools to query, manage, and optimize automated test data flows. Agile Collaboration: Partner cross-functionally with product managers, feature developers, QA Analysts, and DevOps in Agile sprints, accurately estimating validation effort, mapping task prioritization, and raising project dependencies or blockers daily. Code Reviews & Quality Culture: Participate actively in regular peer code reviews for both application features and test suites—providing constructive design feedback and ensuring strict compliance with team quality conventions. Testing Standards & Strategy: Partner with Engineering Leadership to help define department-wide QA expectations — incorporating AI governance, coverage ownership,…
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