Job description

Overview We are seeking experienced Infrastructure Data & Analytics Engineers to join our Microsoft AI team and 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, SuperIntelligence leadership make informed investment and planning decisions at scale. Microsoft AI This role is part of Microsoft AI. Our Superintelligence team is a startup-like organization within Microsoft, dedicated to pushing the boundaries of artificial intelligence while maintaining a strong commitment to safety, responsibility, and human values. 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.   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. Qualifications Required Qualifications: • Bachelor’s degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems • OR equivalent experience. Preferred Qualifications: • Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems • 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. • Strong communication skills; can explain complex systems clearly to senior leader. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Microsoft AI
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.
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.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

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.
Strong communication skills; can explain complex systems clearly to senior leader.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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