This role pays more than
68%
of similar roles. Most pay
$122,661–$169,050
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$146k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Software Engineer II on the Windows Ecosystem & Commercial Engagement Quality, Reliability, and Telemetry team, you will develop productized validation capabilities within the Customer Experience Review Lab. You will design, build, and operate automation components including station automation, device orchestration, and result reporting to ensure Windows builds land safely across diverse hardware configurations. Your daily work involves investigating failures in drivers, firmware, and power systems while collaborating with data science teams to build telemetry and logging pipelines. You will utilize C, C++, C#, Java, JavaScript, or Python to develop tools that reduce friction for lab operators. Additionally, you will integrate generative AI and Model Context Protocol-based tools to accelerate test authoring and analysis. This role focuses on solving complex reliability issues across the third-party ecosystem by improving detection and preventing recurring failure patterns.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Design, implement, and operate scoped features for the CER Lab's packaged Windows validation products.
Build and evolve automation components for harness management, device orchestration, scheduling, and result processing.
Investigate root causes of system failures using logs, traces, crash data, and Windows debugging tools.
Develop telemetry, logging, and tracing systems to ensure automation is observable and actionable.
Improve test reliability by addressing flaky execution, performance bottlenecks, and recurring failure patterns.
Integrate AI-assisted tools to accelerate test authoring, log analysis, and documentation workflows.
Produce high-quality code and technical designs while participating in peer reviews and engineering improvements.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 2+ years of experience coding in C, C++, C#, Java, JavaScript, or Python (or equivalent).
Experience owning and operating production-quality test automation, developer tooling, lab infrastructure, distributed services, or continuous integration capabilities (preferred).
Experience with Windows debugging, operating system fundamentals, system internals, drivers, deployment, power, performance, reliability, or hardware/software integration (preferred).
Experience designing harnesses, runners, device or lab orchestration, telemetry, logging, tracing, and result aggregation (preferred).
Experience diagnosing complex failures, reducing flaky tests, improving observability, and driving issues through mitigation and verification (preferred).
Recent hands-on use of generative AI models and agents for development, testing, diagnosis, process acceleration, or productivity (preferred).
Strong verbal and written communication skills and the ability to collaborate across disciplines and teams (preferred).
Demonstrated focus on customer needs, quality, team culture, continuous learning, and end-to-end ownership (preferred).
Distributed Systems
Azure
AWS
GCP
Python
Java
C#
C++
Swift
Kotlin
React
Objective C
CI/CD
Identity and Access Management
Automated Testing
Monitoring
Data Protection