Senior Software Engineer

Overview Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. The Cloud Supply Chain Engineering (CSCP-E) group is an exciting and fast-evolving engineering group within Microsoft that powers Microsoft’s Cloud-first mission. We are responsible for supporting the supply chain that powers Microsoft's cloud infrastructure. This is a great opportunity to join a dynamic team and influence the way one of the world’s largest and fastest growing cloud environments is built and supported. 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. #CSCP #CSCPJobs #CSCPHiringNow

Responsibilities

• Lead the design, development, and operation of complex software and AI solutions.
• Build production-grade copilots, autonomous agents, and multi-agent workflows.
• Create architecture patterns, frameworks, APIs, and platform capabilities for AI integration.
• Design secure integration with enterprise applications and data sources.
• Develop evaluation frameworks focusing on accuracy, relevance, safety, and reliability.
• Implement observability to monitor applications, models, and agents effectively.
• Drive architectural decisions for model selection, scalability, and optimization.
• Apply security, privacy, and compliance controls across the engineering lifecycle.
• Address risks like prompt injection, data leakage, and unsafe actions proactively.
• Resolve complex production incidents and technical issues efficiently.

Qualifications Minimum 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++, 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

• Advanced proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript.
• Experience designing, delivering, and operating distributed cloud services or enterprise-scale platforms.
• Proven experience building AI-enabled applications using LLMs, prompt engineering, embeddings, vector search, and RAG.
• Strong understanding of system design, distributed systems, APIs, resiliency, security, and observability.
• Practical experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or similar AI platforms.
• Experience deploying enterprise-scale copilots, AI agents, RAG platforms, or multi-agent systems into production.
• Knowledge of AI evaluation, responsible-AI practices, content safety, and human-in-the-loop mechanisms.
• Familiarity with Azure technologies such as AKS, App Service, Cosmos DB, Event Hubs, or Azure Monitor.
• Expertise in Kubernetes, containers, IAC tools, private networking, and Zero Trust architecture.
• Strong background in MLOps, experimentation, and AI telemetry with model lifecycle expertise.

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 $160,200 - $261,000 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.