Infrastructure Data & Analytics
About The Position
Microsoft AI is looking for a Member of Technical Staff - Infrastructure Data & Analytics Engineers to own the end-to-end technical vision and execution for infrastructure analytics, turning raw telemetry into trusted, decision-quality insights on utilization, capacity, readiness, and efficiency. This role is critical to helping the Microsoft AI leadership make informed investment and planning decisions at scale. Our mission is to build AI that amplifies human potential and empowers people around the world. We strive to deliver breakthroughs that advance science, education, productivity, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Requirements
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of technical experience in data engineering, data science, analytics, software development, or data modeling, with increasing technical ownership OR equivalent experience
- 4+ years experience with distributed data processing frameworks and large-scale data systems
Nice To Haves
- Master's Degree in Computer Science or related technical field AND 10+ years of technical experience in data engineering, data science, analytics, software development, or data modeling, with increasing technical ownership OR equivalent experience
- Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems
- Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar
- Experience communicating complex technical systems and concepts to senior leaders
Responsibilities
- Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking.
- Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
- Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production).
- Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility.
- Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions.
- Identify data gaps and instrumentation issues; drive fixes by influencing upstream engineering teams.
- Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable.
- Embody our culture and values.
Benefits
- Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
