Lead and grow a high-performing engineering team focused on extensibility for employee self-service scenarios. Define and execute the technical roadmap aligned with organizational goals and cross-functional priorities.
Responsibilities
Lead and grow a high-performing engineering team focused on extensibility for employee self-service scenarios. Define and execute the technical roadmap aligned with organizational goals and cross-functional priorities.
Required Qualifications
Master's Degree in Computer Science or related technical field AND 10+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. 6+ years of experience in leading geo-distributed engineering teams. Deep knowledge of AI, cloud-based architectural patterns and best practices. 6+ years of experience in designing, building, and managing high-scale full-stack systems including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services. 4+ years people management experience. Architect and implement extensibility features that allow AI agents to interact with enterprise systems (e.g., HRIS, ITSM, Facilities platforms). Establish engineering best practices, including CI/CD, telemetry, and quality assurance.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page