Software Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

199000.0

Posted On

19 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C#, Azure, Kubernetes, SQL Server, Large Language Models, AI Tools, Microservices, API Design, GitHub Copilot, Dynamics Products, Data Sets, Test Automation, Object Oriented Programming, Software Development, Cloud Services, Engineering Best Practices

Industry

Software Development

Description

Overview The AI ERP Frontline team is hiring a Software Engineer II to help build the Scheduling Agent service, a key initiative aimed at automating two-thirds of field service scheduling by 2026. In this role, you’ll develop and support a global-scale services stack that integrates advanced AI large language models and scheduling algorithms to automate the work schedules of thousands of frontline workers. You’ll work with technologies like Kubernetes, .NET, Azure, as well as LLMs from providers like OpenAI, Anthropic and Microsoft. The services you develop will connect to Microsoft Dataverse to support a range of Dynamics products. We’re looking a Software Engineer II to join our team. The role requires experience building LLM based features at scale, and using AI tools such as GitHub Copilot, Azure OpenAI, or other LLM-based development accelerators to enhance productivity, code quality, and innovation. Our mission is to digitize the frontline workforce by delivering the leading AI-powered application portfolio for managing and scheduling work. 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 Design and build robust, scalable services using C#, .NET, Kubernetes, and SQL Server, with deployment on Azure infrastructure. Integrate the latest LLM models into our products, create and maintain robust data sets and test suites for model evaluation, design and implement experiments and potentially fine-tune models to ensure we deliver high quality agent features to customers. Utilize and leverage AI-assisted development tools (e.g., GitHub Copilot, Azure OpenAI) for development and test automation. Collaborate with project managers, engineers, and researchers to gather requirements and inform AI-Agents and service design. Apply engineering best practices to ensure maintainability, performance, and reliability across services. Contribute to API design and microservice architecture, with a focus on scalable and supportable service patterns. Embrace code reviews as a learning and quality assurance tool, both giving and receiving constructive feedback. Familiarity with Microsoft Dataverse and Power Platform is a plus, though not required. Embody our culture and values Qualifications Required Qualifications: 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, C++, C#, Java, JavaScript, or Python OR equivalent experience. 1+ year (s) of experience leveraging Large Language Models (LLMs) to enhance software development workflows, and supporting the implementation or integration of LLM-based solutions. 1+ year (s) of experience with services development, tools & frameworks preferred Azure cloud 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: 3+ years of experience in Object Oriented languages such as C# and Java Experience with AI Agent Development using LLMs such as GPT-4o, GPT-5, Claude 4.1 Opus, Gemini 2.5, LLama 3 etc. Experience with Azure services development. Previous experience building, deploying and managing enterprise services at scale in production environments, demonstrating knowledge of creating scalable microservice based solutions is a plus. Ability to analyze requirements, break down complex problems, and design elegant solutions. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

Design and build scalable services using C#, .NET, and Azure infrastructure. Integrate LLM models into products and collaborate with teams to gather requirements and inform service design.