Design, build, and optimize components of distributed AI platforms to improve availability, performance, scalability, reliability, and cost efficiency. Lead incident-management efforts and engineer technical solutions that systematically reduce Time to Detect (TTD), Time to Mitigate (TTM), and Time to Resolve (TTR) across AI training and inference workloads. Build and scale automated validation frameworks and test suites that identify regressions early and maintain system stability. Implement graphics processing unit (GPU) and compute fleet optimizations that improve resource utilization, throughput, and operational efficiency at scale. Develop platform services, internal tools, and automation that streamline engineering workflows, improve developer velocity, and raise code quality standards. Write production code, build telemetry and observability tools, and debug complex system issues to resolve root causes and prevent incident recurrence. Provide technical leadership, mentor engineers, and lead multi-team initiatives across infrastructure, security, networking, and service teams. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience reading, writing, and debugging high-quality production code across a large, complex codebase for internet-scale services, distributed systems, or compute platforms. Experience building automated validation frameworks and developer-productivity tools. Experience serving as a technical lead, mentoring engineers, and executing multi-team engineering initiatives. Experience with AI training and inference infrastructure, incident management, and reliability measures such as TTD, TTM, and TTR.