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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.
Job Responsibility:
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, best 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
Requirements:
Bachelor's Degree in Computer Science, or related technical discipline
6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
4+ years people management experience
Nice to have:
Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python