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 motivated Software Engineer to contribute to data-driven systems that reveal how Windows devices behave at scale. You will work with experienced engineers to build reliable backend services and data pipelines, analyze product-health signals, and deliver improvements that advance Windows Fundamentals across devices, silicon, and customer segments.
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
- Contribute to Windows Fundamentals metrics, queries, cohort definitions, and measurement workflows across reliability, performance, responsiveness, power, battery life, memory, and storage.
- Develop, test, and maintain well-scoped components of backend services and data pipelines for telemetry ingestion, transformation, orchestration, storage, monitoring, diagnostics, and engineering workflows.
- Apply sound engineering practices for service reliability, security, compliance, observability, data quality, deployment safety, and operational support.
- Analyze telemetry, diagnostic signals, and traces, with support from experienced engineers, to identify trends, anomalies, regressions, and customer impact.
- Investigate data and service issues using debugging, statistical, and performance-analysis tools; document findings and contribute to engineering actions.
- Build automation, dashboards, alerts, and diagnostic workflows that detect issues earlier and reduce manual engineering effort.
- Collaborate with team members and partner teams, participate in design and code reviews, and continuously develop technical expertise in services, data engineering, and Windows Fundamentals.
Required/Minimum Qualifications
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
OR equivalent experience.
Additional or preferred qualifications
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.
Preferred Qualifications
Candidates need at least one year of software engineering experience. A bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience, is also required.
Experience gained through coursework, internships, projects, or professional work in software development, backend services, data engineering, debugging, analytics, or related areas.
Understanding of software engineering fundamentals, including testing, code quality, maintainability, data structures, and basic service or data-pipeline concepts.
Solid programming, analytical, debugging, and problem-solving skills; ability to learn new technologies, incorporate feedback, and use data to support decisions.
Coursework, internship, project, or professional experience with distributed services, cloud platforms, data pipelines, operating systems, or large-scale analytics.
Familiarity with telemetry, metrics, SQL or KQL, data visualization, statistical analysis, performance engineering, or Windows internals.
Exposure to service monitoring, data-quality validation, automation, machine learning, or AI-assisted engineering workflows.
Experience collaborating on team projects and communicating technical ideas clearly.
C, C++, C#, Python, PowerShell, and SQL/KQL; WinDbg, Windows Performance Analyzer, and ETW; Kusto, Azure services and data platforms, orchestration and monitoring systems, Power BI, statistics, experimentation, anomaly detection, machine learning, and AI-assisted analysis.
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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.
Insights from previous hires
Top skills: Management, MECHANICAL, LOGICISTICS, ELECTRICAL, Cybersecurity, Cloud Infrastructure, Cascading Style Sheets (Css), C++, Availability, Architecture
Common previous titles: Tech, Engineer, Tech Support Engineer, Senior Specialist, Senior Embedded Software Engineer, Senior Data Scientist, Senior, Software Engineer, Principal Architect, Manager Partner
Job description provided by Microsoft.
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