Overview

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.

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.

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.
Embody our culture and values.

Qualifications

Required Qualifications:

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

Preferred Qualifications:

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

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

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:
https://careers.microsoft.com/us/en/us-corporate-pay

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.

Microsoft

Infrastructure Data & Analytics

About the Job

Requirements

Responsibilities

Desired Qualifications

About the Company

Microsoft

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