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Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits. We\u2019re looking for an experienced  Site Reliability Engineer (SRE)  to join our infrastructure team. In this role, you\u2019ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You\u2019ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models. Microsoft\u2019s 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. 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Expertise in  monitoring &amp; observability tools  (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in  Python, Go, or Bash . Solid knowledge of  distributed systems, networking, and storage . Experience running  large-scale GPU clusters  for ML/AI workloads (preferred). Preferred Qualifications Familiarity with ML training/inference pipelines. Experience with  high-performance computing (HPC)  and workload schedulers ( Kubernetes operators). Background in  capacity planning &amp; cost optimization  for GPU-heavy environments. Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. Competitive compensation, equity options, and comprehensive benefits. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. 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