Senior Software Engineering Manager

Overview

The Windows + Devices Fundamentals team improves the reliability, performance, responsiveness, battery life, memory efficiency, and overall health of Windows devices. We build and operate the services, telemetry systems, and data pipelines that transform signals from labs and the installed base into trustworthy metrics, actionable diagnostics, and measurable engineering improvements.

We are seeking a Senior Software Engineering Manager to lead a team responsible for critical Windows Fundamentals data and service capabilities. You will guide technical strategy, develop engineering talent, and drive the delivery and operation of scalable backend services, telemetry systems, data pipelines, metrics, and diagnostic workflows used to understand and improve Windows health at scale.

This role is ideal for an engineering leader who combines solid service and data-platform expertise with a passion for developing people, operating reliable systems, solving ambiguous technical problems, and delivering measurable outcomes for Windows.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we 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.

Responsibilities

• Own the team's strategy and roadmap for Windows Fundamentals backend services, telemetry systems, data pipelines, metrics, cohort frameworks, and diagnostic capabilities.
• Lead the architecture, delivery, and operation of scalable systems for telemetry ingestion, transformation, orchestration, storage, health monitoring, analytics, diagnostics, and engineering workflows.
• Maintain a high engineering bar for service reliability, security, compliance, privacy, observability, data quality, schema evolution, deployment safety, incident response, and operational excellence.
• Guide the team in using large-scale telemetry, statistical methods, experimentation, and systems debugging to identify regressions, understand product-health movements, and drive prioritized engineering actions.
• Invest in automation, AI-assisted analysis, monitoring, and self-service capabilities that detect issues earlier, reduce operational toil, and increase the leverage of engineering teams.
• Use data, customer insights, and business priorities to evaluate tradeoffs, manage risk, balance new capabilities with service health, and deliver measurable outcomes.
• Hire, coach, and retain a diverse team of engineers while collaborating with Windows engineering, data science, security, silicon, OEM, and service teams to align architecture, dependencies, and execution.

Required Qualifications

• Applicants must have atleast 10+ years of software engineering experience and a bachelor's degree in Computer Science or a related technical discipline. Equivalent practical experience is accepted in place of the degree.
• At least two years of people-management experience leading software engineers, including coaching, performance management, hiring, and career development.
• Experience leading the design, development, deployment, and operation of backend services, distributed systems, data pipelines, telemetry platforms, or large-scale analytics.
• Demonstrated success leading a team that delivered and operated reliable production products, services, or engineering platforms at scale.
• Solid technical judgment in service architecture, systems design, data engineering, security, reliability, debugging, and engineering tradeoffs.
• Ability to navigate ambiguity, prioritize investments using data, manage operational and delivery risk, and influence technical and product decisions across teams.
• Experience managing a team responsible for cloud services, distributed systems, data engineering, telemetry platforms, developer infrastructure, or production operations.
• Knowledge of Windows Fundamentals, Windows internals, reliability engineering, performance analysis, power efficiency, or system-level diagnostics.
• Experience leading secure and compliant services with solid observability, deployment controls, data-quality practices, live-site response, and operational accountability.
• Experience defining organizational metrics, cohorts, baselines, and measurement strategies using large-scale telemetry, experimentation, statistical analysis, or Azure data platforms.
• Track record of shaping architecture and product direction, applying automation or AI to engineering workflows, and collaborating with senior stakeholders across organizational boundaries.

The team works with technologies including

• C, C++, C#, Python, PowerShell, SQL/KQL, scripting, and automation tools.
• WinDbg, Windows Performance Analyzer, ETW, and diagnostic and trace-processing systems.
• Kusto, Azure services and data platforms, orchestration, storage, deployment, and monitoring systems.
• Power BI, statistics, experimentation, anomaly detection, and large-scale telemetry analysis.
• Machine learning, AI-assisted analysis, and automated diagnostic workflows.
• #W+DJOBS
• #WSSIJOBS
• #WDJOBS

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional information

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