New 
Member of Technical Staff - Data Infrastructure Engineer
 Microsoft | |
 United States, New York, New York | |
 Oct 26, 2025 | |
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OverviewAs Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits. We're looking for a seasoned Data Infrastructure Engineer. This role is a dynamic blend of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on enabling large-scale data and ML pipelines and intelligent systems. If you've architected big data platforms from the ground up and are eager to apply that expertise to consumer AI, we want to hear from you. You'll bring:Deep technical expertiseA passion for automation and observabilityFluency in distributed systemsCreativity to design scalable solutionsAnd just as importantly: empathy, collaboration, and a growth mindsetMicrosoft'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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
ResponsibilitiesArchitect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.Champion DevOps and SRE best practices-automated deployments, service monitoring, and incident response.Build a self-service big data platform that empowers data and platform engineers and researchers.Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM).Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows.Lead technical design reviews and uphold a clean, secure, and well-documented codebase.Proactively identify and resolve bottlenecks in data pipelines and infrastructure.Optimize system performance across storage, compute, and analytics layers.Partner with Security teams to enhance system security (IAM, OAuth, Kerberos).Embody and promote Microsoft's values: Respect, Integrity, Accountability, and Inclusion. | |