Software Engineer II, Cloud & AI

with other engineering teams to identify dependencies, troubleshoot system-integration challenges, and contribute to technical designs for applications, services, APIs, and platform capabilities. Participate in design and code reviews, release planning, testing, deployment, telemetry implementation, and production-readiness activities. Participate in live-site and DRI rotations, investigate service issues, perform root cause analysis, and implement durable fixes that improve service reliability and operational health. Learn and apply emerging engineering and AI patterns that improve system availability, observability, security, performance, evaluation quality, and operational consistency. Share reusable code, agent tools, evaluation assets, engineering practices, and technical learnings with the broader engineering community. 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#, Java, JavaScript 2+ years experience designing and building solutions on Azure or other cloud platforms 2+ years experience in software engineering fundamentals, including software design, code quality, testing, security, reliability, observability, and DevOps practices 1+ years experience using AI-assisted development tools to improve engineering productivity and software quality 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 building scalable applications and services using Web APIs, React or comparable front-end technologies, data platforms, and relational databases Experience with Power Platform and/or Dynamics 365 Experience owning software features through design, implementation, deployment, and production support Ability to communicate technical concepts clearly, troubleshoot system-integration problems, and collaborate effectively across engineering, product, and business disciplines Demonstrated ability to learn and apply new technologies, engineering patterns, and development practices in a rapidly evolving environment These requirements include, but are not limited to the following specialized security screenings