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 an 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.

Responsibilities

• Lead the end-to-end architecture, development, deployment, and operation of complex software and AI solutions.
• Build production-grade copilots, autonomous agents, multi-agent workflows, and retrieval-augmented generation systems.
• Establish reusable architecture patterns, frameworks, APIs, and platform capabilities that accelerate AI adoption across teams.
• Design secure integration with enterprise applications, operational workflows, and structured and unstructured data sources.
• Establish evaluation frameworks covering accuracy, relevance, safety, latency, reliability, user experience, and cost-effectiveness.
• Implement comprehensive observability for software, models, and agents, monitoring for drift, failures, and quality degradation.
• Make architectural decisions regarding model selection, orchestration, scalability, resiliency, and cost optimization.
• Apply responsible AI principles, ensuring security, privacy, compliance, and data governance in all engineering processes.
• Mitigate risks related to prompt injection, data leakage, hallucinations, and dependency integration.
• Collaborate with cross-functional teams to resolve complex technical challenges and deliver measurable outcomes.
  
  

Qualifications

Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field and 7+ 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

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.
• 7+ years of professional software-engineering experience.
• Advanced proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript.
• Experience designing and operating distributed cloud services or enterprise-scale platforms.
• Understanding of system design, APIs, data architecture, resiliency, security, and observability.
• Practical experience building AI-enabled applications using LLMs, prompt engineering, embeddings, and agentic workflows.
• Familiarity with AI platforms like Azure OpenAI, Semantic Kernel, or AutoGen.
• Knowledge of AI evaluation, responsible-AI controls, and defense mechanisms.
• Experience influencing stakeholders and developing shared engineering frameworks.
• Demonstrated impact across multiple teams or business processes.
  
  

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.