Design and develop authentication, identity, and security features for Windows, Linux, and cross-platform client technologies, including emerging AI scenarios. Partner across engineering, product, and design to build customer-facing experiences that simplify complex workflows, reduce friction, and create moments of delight for users. Develop secure, reliable, and reusable client-side components and platform capabilities that are well-defined, diagnosable, testable, and maintainable. Ensure testability, portability, reliability, and maintainability, and know when code is ready for delivery. Focus on customer/partner needs through a data-driven approach. Participate in on-call rotations, incident response, and root cause analysis. Troubleshoot and optimize automation, reliability, and monitoring for LiveSite. Evangelize the usage of AI to increase productivity and quality on the team. Embody our culture and values Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience developing software for Windows or Linux platforms using C++ or other programming languages. Experience with authentication and authorization technologies, including OAuth 2.0, OpenID Connect, token-based authentication, or identity systems. Experience or interest in AI security, agent identity, or emerging agentic scenarios. Experience using AI-assisted development tools to improve engineering productivity and software quality.
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