Principal Software Engineer AI Powered Observability

Are you a customer-obsessed AI-curious problem-solver who thrives in an inclusive collaborative global teamJoin Engineering Operations (EngOps) the organization driving operational excellence across the Microsoft Cloud to strengthen quality reliability security and customer trust. As part of EngOps youll 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.

Microsofts 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-matterexpertise 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 analysisreviews meetings on-call rotations and incident responses throughout product development and operations cycles.

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

• • Embody ourCultureandValues