Software Engineer II
Microsoft
Software Engineer II
Redmond, Washington, United States
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Overview
Come build the platform that powers Microsoft’s partner ecosystem. In Partner Center & Marketplace a core part of Microsoft’s Commerce + Ecosystems division, you’ll help deliver the foundational services and experiences that enable partners to build, publish, sell, and grow with Microsoft and help customers discover and deploy 1P/3P solutions. You’ll leverage GitHub Copilot, and the latest generative AI models as you work across APIs, big data, services, and user experiences that operate on a global scale making it simpler, more secure, and more intelligent for partners and sellers to do business with Microsoft.
We'ew looking for a Software Engineer II to join the engineering team responsible for architecting and operating the full spectrum of partner and seller commerce experiences from customer onboarding to pricing intelligence, transaction flows, catalog management, billing and earnings reconciliation.
Success in this role means you will take ownership of feature areas, drive innovation with the latest AI technologies including Microsoft Copilot, Azure AI Studio, Agent framework and GitHub Copilot and deliver solutions that scale. You move with urgency, but balance speed with thoughtful collaboration and a commitment to quality and security. You foster an inclusive environment where everyone’s ideas are valued and learning is ongoing, and you help others grow by sharing knowledge and mentoring. Throughout, you demonstrate Microsoft’s values of respect, integrity, and accountability, fostering a culture where everyone can thrive.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- 3+ years of experience in software engineering, data science, or machine learning
- 2+ years experience with LLMs, prompt engineering, and the OpenAI API
- 2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
Preferred Qualifications:
- Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
- Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
- Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
- Experience debugging skills and a solid understanding of security and data protection principles
- Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
- Proficiency in Python for development and scripting
Applied Sciences 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
Microsoft will accept applications for the role until Noveember 10, 2025
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.
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.