Microsoft · 9 hours ago
Member of Technical Staff, Infrastructure Data & Analytics - MAI SuperIntelligence Team
United States, Multiple Locations, Multiple Locations
Full-time
Onsite
Senior Level, Lead/Staff
$140K/yr - $275K/yr
8+ years expMicrosoft is seeking experienced Infrastructure Data & Analytics Engineers to join their AI team and own the technical vision for infrastructure analytics. This role involves turning raw telemetry into decision-quality insights and is critical for making informed investment and planning decisions at scale.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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
Qualification
Required
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
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
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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