Senior Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

234700.0

Posted On

21 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, C#, Java, JavaScript, Python, AI, Cloud Computing, Microservices, Distributed Systems, Data Analytics, Conversational AI, Extensibility Features, Performance Improvement, Scalability, Reliability, CI/CD, Quality Assurance

Industry

Software Development

Description

Overview We are seeking a Senior Software Engineer 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. What we do: The Employee Self-Service (ESS) product is an emerging and cornerstone initiative within Microsoft’s Copilot ecosystem, designed to streamline and personalize employee interactions across HR, IT, and facilities domains. ESS empowers customers to quickly create conversational AI agents that integrates with enterprise systems to deliver accurate, context-aware responses and automate routine tasks. Our Team: We are a geo-distributed team of engineers in Redmond WA and India, with deep development partnerships with the Microsoft Copilot Studio team, Microsoft AI team and Bizchat team. We partner closely with a talented and senior set of Product Managers, Technical Program Managers, designers, and researchers. We’re a new and emerging product. Both the competition and technology are evolving rapidly, and we’re looking for individuals that current on AI technologies, thrive in ambiguity, learns quickly, curious, and capable of solving problems across multiple code stacks. This role is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available. 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 Coordinate and partner across product teams, develop and support key extensibility features in Microsoft AI products – Microsoft Copilot Studio and Bizchat. Collaborate with internal and customer HR, IT, and Facilities stakeholders to understand business needs and translate them into technical solutions. Design 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. Identify and drive performance, scalability, and reliability improvements across the ESS platform. Establish engineering best practices, including CI/CD, telemetry, and quality assurance. Qualifications Required Qualifications: 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#, Java, JavaScript, or Python OR equivalent experience. 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: 4+ years of experience 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 of experience with AI, cloud-based architectural patterns and best practices. Functional knowledge of cloud computing and online services business models, including business, technical, and operational metrics. Ability to operate effectively and independently in a dynamic, fluid environment. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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

Coordinate and partner across product teams to develop and support key extensibility features in Microsoft AI products. Collaborate with stakeholders to understand business needs and translate them into technical solutions.