Overview
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. This role will require a minimum of three days in office. Company Culture Statement 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
Understanding of the distributed systems design, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
Shares and defines insights, industry practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
Expands end-to-end technical expertise in the architecture, code, features, operations and comprehensive use scenarios of products in order to drive continuous improvements.
Contribute 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.
Support ongoing engagements with product engineering teams by participating 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.
