Software Engineering IC2

Microsoft • Redmond, WA

3d • $85,400 - $183,700

About The Position

Join the Windows Ecosystem & Commercial Engagement (WECE) Quality, Reliability, and Telemetry team to build automation and validation tools for the Readiness Assessment Lab. The team ensures Windows builds and updates are validated safely and consistently across third-party OEM, silicon, firmware, driver, and software configurations. The role contributes to a packaged test suite used by Microsoft labs and third-party partners to validate Windows on hardware with consistent scenarios and comparable results.

Working with experienced engineers, the Software Engineer implements and maintains deterministic tests, harness components, lab utilities, result processing, and deployment workflows. The work includes learning Windows debugging, system behavior, drivers, power, performance, reliability, and device configuration, and using logs and telemetry to investigate test failures. The role also uses approved generative AI and agent-based tools to accelerate engineering work, while maintaining reviewed code, reproducible tests, and accountable engineering judgment.

The position contributes to end-to-end Windows validation, including packaged test collateral for lab and approved partner environments; automation components for test execution, device setup, and result collection; diagnostics for failure investigation; telemetry and reporting integrations; and AI-assisted workflows that reduce repetitive effort without compromising deterministic execution. The team values early signal, clear ownership, fast learning, pragmatic and reliable engineering, and feedback-driven collaboration.

Requirements

• Bachelor's degree in Computer Science or a related technical discipline with proven coding experience in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Clear verbal and written communication, curiosity, a growth mindset, and ability to collaborate effectively in a diverse team.
• Focus on customer needs, quality, reliability, and completing commitments.

Nice To Haves

• At least 1 year of technical engineering experience through professional work, internships, academic projects, open-source contribution, or equivalent experience.
• Experience implementing or maintaining automated tests, developer tools, scripts, build workflows, or continuous integration pipelines.
• Familiarity with operating system fundamentals, Windows diagnostics, device configuration, drivers, deployment, or hardware/software integration.
• Experience coding in one or more of C, C++, C#, Python, PowerShell, or a comparable language, with attention to readability and testing.
• Familiarity with logs, telemetry, test results, basic data analysis, and structured debugging.
• Hands-on use of generative AI tools to support software development, testing, analysis, or documentation, with willingness to verify outputs.
• Experience implementing reliable automated scenarios, creating and maintaining tests, investigating failures, improving repeatability, applying established component and integration patterns, writing maintainable code for test collateral and integrations, and using data and engineering judgment to validate Windows experiences and prevent regressions.

Responsibilities

• Implement, test, document, and maintain well-defined components of packaged Windows validation collateral under the guidance of experienced engineers.
• Build and improve automated scenarios, harness adapters, runners, setup utilities, and result collectors for lab stations.
• Reproduce and investigate test failures using logs, traces, crash data, configuration information, and Windows debugging tools.
• Write clear, maintainable, secure code in languages such as C, C++, C#, or Python, and participate constructively in design and code reviews.
• Add telemetry, logging, and error handling so automated runs are observable and failures are actionable.
• Fix defects, improve test reliability, and support automation in live lab environments with help from the team when needed.
• Use approved AI-assisted engineering tools for coding, test authoring, analysis, and documentation while validating outputs and protecting confidential data.
• Collaborate with software engineers, data engineers, data scientists, lab operators, program managers, and partner teams to complete assigned work.
• Learn from operational results and customer scenarios, incorporate feedback, and steadily expand technical depth and ownership.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level