Senior Software Engineer
Microsoft· Software Engineering
HyderabadFull-timePosted 3w ago
About the role
Senior Software Engineer to design and deliver data-driven systems that reveal Windows device behavior at scale, shaping metric strategy, architecting backend services and data pipelines, and guiding engineering investments across Windows Fundamentals.
Responsibilities
- Lead the definition of Windows Fundamentals metrics, success criteria, cohort strategies, and measurement frameworks across reliability, performance, responsiveness, power, battery life, memory, and storage.
- Architect, build, and operate scalable backend services and data pipelines for telemetry ingestion, transformation, orchestration, storage, health monitoring, diagnostics, and engineering workflows.
- Establish high standards for service reliability, security, compliance, observability, data quality, schema evolution, deployment safety, incident response, and operational support.
- Analyze large-scale telemetry, diagnostic signals, and traces to identify trends, anomalies, regressions, causal factors, and customer impact.
- Lead investigations into metric movements using statistical methods, experimentation, systems debugging, and performance-analysis tools; translate findings into prioritized engineering actions.
- Design and deliver automation, AI-assisted analysis, dashboards, alerts, and diagnostic workflows that detect issues earlier and reduce manual engineering effort.
- Provide technical leadership across Windows engineering, data science, security, silicon, OEM, and service teams; mentor engineers and influence service architecture, measurement strategy, and investment decisions.
Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Three or more years of experience in backend service development, data engineering, distributed systems, large-scale analytics, systems analysis, or related work.
- Demonstrated success architecting, developing, deploying, and operating reliable production services, data pipelines, telemetry systems, analytics, or engineering platforms.
- Solid software design, programming, debugging, statistical reasoning, and problem-solving skills; ability to lead ambiguous technical work and influence decisions through evidence.
- Experience with operating systems, Windows internals, distributed services, system-level development, performance engineering, data engineering, or large-scale fleet analytics.
- Experience defining organizational KPIs, establishing baselines and cohorts, investigating regressions, and communicating insights to engineering and leadership audiences.
- Experience designing scalable telemetry schemas, service APIs, orchestration systems, data-quality controls, monitoring and alerting, anomaly-detection systems, or automated diagnostic workflows.
- Experience with Kusto, Azure services and data platforms, privacy-conscious telemetry, secure service operations, statistical analysis, machine learning, or AI applied to engineering analysis and diagnostics.
Skills
Required:Backend service developmentDistributed systemsTelemetry systemsStatistical analysis / experimentationLeadership / mentorship
Nice to have:Kusto / Azure data platforms
Benefits
- Microsoft Cloud Background Check required: pass upon hire/transfer and every two years thereafter.
Last updated Oct 1, 2026. Interested? Apply on the company site.
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