Software Engineer-II

Define and implement well-scoped Windows Fundamentals metrics, queries, cohort strategies, and measurement workflows across reliability, performance, responsiveness, power, battery life, memory, and storage.

Design, build, deploy, and operate reliable backend services and data pipelines for telemetry ingestion, transformation, orchestration, storage, health monitoring, diagnostics, and engineering workflows.

Apply and improve engineering practices 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.

Independently investigate metric movements and service issues using statistical methods, experimentation, debugging, and performance-analysis tools; translate findings into well-scoped engineering actions.

Design and deliver automation, AI-assisted analysis, dashboards, alerts, and diagnostic workflows that detect issues earlier and reduce manual engineering effort.

Contribute to technical designs and code reviews, resolve dependencies with partner teams, share findings, and mentor less-experienced engineers on well-understood areas.

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

OR equivalent experience.

These requirements include but are not limited to the following specialized security screenings: Candidates need at least three years of software engineering experience.

A bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience, is also required.

At least one year of experience in backend service development, data engineering, distributed systems, large-scale analytics, systems analysis, or related work.

developing, testing, deploying, or operating reliable production software, services, data pipelines, telemetry systems, or analytics.

Solid programming, debugging, software-design, data-analysis, and problem-solving skills; ability to independently execute well-scoped work, navigate partial ambiguity, and use evidence to guide decisions.

with distributed services, Azure or other cloud platforms, data pipelines, operating systems, performance engineering, or large-scale fleet analytics.

defining metrics, establishing baselines and cohorts, investigating regressions, and communicating insights through dashboards or technical reports.

with telemetry schemas, service APIs, orchestration, monitoring and alerting, data-quality controls, anomaly detection, or automated diagnostic workflows.

with Kusto, Azure data platforms, privacy-conscious telemetry, statistical analysis, machine learning, AI-assisted engineering workflows, or Windows internals.

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.