Infrastructure Data & Analytics

Microsoft Corporation

United States

United States

À propos

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 Superintelligence Team MicrosoftSuperintelligence team's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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. This role is part of Microsoft AI's Superintelligence Team. The MAIST is astartup-like team inside Microsoft AI, created to push the boundaries of AI towardHumanist Superintelligence-ultra-capable systems thatremaincontrollable, safety-aligned, and anchored to human values.Our mission is to create AI that amplifies human potential while ensuring humanityremainsfirmly in control. We aim to deliver breakthroughs thatbenefitsociety-advancing science, education, and global well-being. We'realso fortunate to partner with incredible productteamsgiving our models the chance to reach billions of users and createimmensepositive impact. Ifyou'rea brilliant,highly-ambitiousandlow egoindividual,you'llfit right in-comeand join us as we work on our next generation of models! Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe come together with a growth mindset, innovate toempowerothers, andcollaborate 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. By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. 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: 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.

United States

Compétences linguistiques

English

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