Senior Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

274800.0

Posted On

18 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, AI, Cloud-Based Architectural Patterns, Microservices, Distributed Systems, Data Analytics, C, C++, C#, Java, JavaScript, Python, Extensibility Features, Operational Excellence, CI/CD, Quality Assurance

Industry

Software Development

Description

Overview We are seeking a visionary, technically strong and hands-on Principal Engineering Manager to lead the Employee Self Service Platform Extensibility team. This team is at the forefront of enabling AI-powered self-service experiences across HR, IT, Facilities, and other enterprise domains. You will drive the development of extensibility features that empower AI agents to deliver seamless, personalized, and actionable employee support through Microsoft Copilot Studio and BizChat. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Team Leadership & Strategy: 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. Cross-Team Collaboration: You will coordinate and partner across product teams, develop and support key extensibility features in Microsoft AI products – Microsoft Copilot Studio and Bizchat. You will collaborate with internal and customer HR, IT, and Facilities stakeholders to understand business needs and translate them into technical solutions. AI Agent Enablement and Platform Extensibility: Architect and implement extensibility features that allow AI agents to interact with enterprise systems (e.g., HRIS, ITSM, Facilities platforms). Own the delivery of key extensibility features such as agent publishing, multi-agent architecture improvements, MCP and connectors, and conversational workflow customization. Ensure compatibility with OpenAPI standards and Microsoft’s AI orchestration models. Drive operational excellence: Identify and drive performance, scalability, and reliability improvements across the ESS platform. Establish engineering best practices, including CI/CD, telemetry, and quality assurance. Embody our culture and values to responsibilities Qualifications Required Qualifications: Bachelor'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 equivalent experience. 6+ years of experience in leading geo-distributed engineering teams. 8+ 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. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master'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 Deep knowledge of AI, cloud-based architectural patterns and best practices. #Copilot #AI Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Lead and grow a high-performing engineering team focused on extensibility for employee self-service scenarios. Architect and implement extensibility features that allow AI agents to interact with enterprise systems.