Senior Software Engineer

Come help us build the world's computer. Azure's hyperscale growth continues and is only increasing, and the intelligence behind that growth is being written right now, by us. You'll join a team that sits at the intersection of massive distributed systems and cutting-edge Artificial Intelligence (AI), where the decisions our software makes directly shape Microsoft's capacity, efficiency, and profitability across the planet. If you want your code to move the needle at true hyperscale, this is where you do it.

As a Senior Software Engineer on the Azure Capacity Infrastructure Service, you'll design and build the intelligent operations that orchestrate Azure's datacenter buildout with minimal customer disruption and maximum efficiency. You'll apply Artificial Intelligence (AI) and Large Language Models (LLMs) across the software development lifecycle to reason over complex, real-time signals, safely planning, deploying, and running the systems that expand Azure's global footprint. This opportunity will allow you to deepen your expertise in applied AI and distributed systems, grow your technical leadership and influence across engineering teams, and shape the architecture of a service that operates at a scale few engineers ever touch.

In this role, you'll design, build, deploy, and run AI agent systems and LLM-powered applications that bring intelligence to this distributed platform reasoning over enterprise data, calling tools, and automating complex workflows. You'll work across the full stack (Python, Angular, C#/.NET, and SQL on Azure), pairing strong software engineering fundamentals with deep, hands-on experience in modern AI. As a senior engineer, you'll set technical direction, raise the bar on quality through eval-driven development, and mentor others while shipping production systems that increase efficiency, scalability, and accuracy.

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

• Build AI-native intelligent operations. Independently apply Artificial Intelligence (AI) tools, Large Language Models (LLMs), and generative AI practices across the software development lifecycle to automate and improve how Azure capacity is planned, deployed, and run — taking full ownership of the quality, security, and correctness of AI-assisted designs and code.