Principal Software Engineer - AI Powered Observability

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. 

Azure Reliability is driving transformation to AI-powered operations by building scalable ML infrastructure that enables autonomous, reliable, and secure cloud systems. We are looking for candidates that can combine deep technical expertise in MLOps with a proven ability to deliver measurable business impact through continuous learning, policy-driven governance, and responsible AI practices. Success in this role means advancing operational autonomy, quality, and security, while fostering collaboration and accountability across teams. 

Every day, customers stake their business and reputation on our cloud. You can help #EngOps keep them secure, resilient, and ready. 

We are looking to hire a Principal Software Engineer - AI Powered Observability, tok take on this rare opportunity to shape autonomous outage detection, AI-driven reliability, and customer-impact protection across Microsoft at global scale.

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. 

This role will require a minimum of three days in office. 

• Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures. 

• Lead by example and mentors' others to produce extensible and maintainable code used across products.  

• Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.  

• Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise. 

• Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products.    

• Demonstrates end-to-end expertise in distributed systems design, interactions between cloud technology layers. 

• Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.  

• Provides deep business and technical expertise as required to resolve major incidents. 

• • Embody our Culture and Values