Join the Cosmic team within M365 Core IDC to build and operate hyperscale cloud infrastructure powering Microsoft 365 services like M365 Copilot and WorkIQ. Our mission is to empower M365 teams with a reliable, safe, and scalable cloud platform, enabling faster innovation. We are at the forefront of transforming cloud services with AI-first and agent-driven experiences, offering a unique chance to shape autonomous cloud platforms and build AI-powered infrastructure for enhanced engineering productivity and operational efficiency.

This role is perfect for someone looking to push the boundaries of deployment velocity and reliability at hyperscale, tackle complex distributed systems challenges impacting critical Microsoft services, and contribute to Microsoft's mission of empowering every person and organization on the planet. We foster a culture of growth, innovation, and collaboration, where every employee can thrive.

As a Senior Software Engineer, you will be instrumental in driving technical strategy, architecture, and execution for our hyperscale cloud platform and deployment systems. This involves leading the design and delivery of large-scale infrastructure projects and building secure, scalable, reliable, and maintainable distributed systems. You will influence engineering direction through architectural leadership and technical decision-making, championing operational excellence via automation, observability, and reliability engineering. Ensuring solutions adhere to the highest standards of security, privacy, compliance, accessibility, and service reliability is paramount. Furthermore, you will mentor fellow engineers, cultivate engineering excellence across teams, and collaborate across Microsoft to achieve significant business impact globally.

We are seeking candidates with a Bachelor's Degree in Computer Science or a related technical field, coupled with 7+ years of technical engineering experience, including proficiency in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience. Additional preferred qualifications include strong systems thinking and architectural design expertise, experience leading large-scale, geo-distributed engineering initiatives, and a proven track record in building, shipping, and operating highly available distributed systems at scale. Excellent problem-solving, design, coding, and debugging skills are essential. Experience with cloud infrastructure, platform services, or developer platforms, as well as leveraging AI technologies for platform challenges, is highly valued. The ability to mentor engineers and influence technical direction, alongside experience collaborating with global stakeholders, will set candidates apart. Security screening requirements, including a Microsoft Cloud Background Check, must be met.