The posting, in LogicGate's own words
archived Sep 2, 2026LogicGate® 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 compliance, 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. Excited about LogicGate but not familiar with GRC? GRC stands for Governance, Risk, and Compliance GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.
Senior Software Engineer: Front-End
Location : Remote or Bellevue, WA (Hybrid) or Chicago, IL (Hybrid)
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About the Role
As a Senior Front-End Software Engineer at LogicGate, you will own the architectural foundation and UI experience of our market-leading Risk Cloud platform. Enterprise risk and compliance teams rely on our platform daily to transform complex data into actionable, real-time insights- making responsive, high-performing front-end systems essential. Working cross-functionally with product managers, designers, and backend engineers, you will design scalable component architectures, elevate our front-end tooling, and integrate cutting-edge AI capabilities into core user workflows. In this role, your technical leadership and standards for code craft will directly shape how global enterprises manage risk.
What You’ll Do
Component Architecture: Design and ship modular, reusable UI components using TypeScript, Angular, and modern front-end tools to ensure platform maintainability and enterprise scale. Quality & Testing: Champion automated testing across unit, integration, and end-to-end layers (utilizing tools like Cypress) to maintain high test coverage, rapid deployment, and low defect rates. AI Workflow Integration: Leverage modern AI tools and automated developer workflows to accelerate feature delivery, optimize code quality, and weave intelligent capabilities into platform user experiences. Performance & Observability: Monitor and tune web performance metrics and accessibility standards (WCAG 2.1 compliance), leveraging Datadog dashboards and logs to eliminate UI bottlenecks. Technical Mentorship: Conduct thorough code reviews and provide constructive feedback to elevate squad coding standards, fostering technical growth across earlier-career engineers. Cross-Functional Execution: Partner closely with , Design, QA, and Backend teams in an environment to refine technical specifications and build intuitive customer features. Documentation & Standards: Produce clear architectural documentation and technical specifications to share domain context and ensure long-term codebase health.