Software Engineering IC2
Microsoft
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- Embedded systemsStakeholder managementSystem designJavaJavaScript
- Nice to have
- WindowsPythonC++C
- Work
- On-site in Redmond
- Pay
- Not stated by the employer.
- Skill demand
- Java45%Stakeholder management27%System design20%Embedded systems19%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 3, 2026 · still open
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About the Role
Join the Windows Ecosystem & Commercial Engagement (WECE) Quality, Reliability, and Telemetry (QRT) team to help reinvent how Windows is tested, validated, and proven across the broader hardware ecosystem. The charter is to ensure Windows builds and updates land safely, predictably, and at scale across a growing set of third-party OEM, silicon, firmware, driver, and software configurations.
Key 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 useful 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.
- 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.
- Learn from operational results and customer scenarios, incorporate feedback, and steadily expand technical depth and ownership.
- Contribute to end-to-end Windows validation across the third-party ecosystem, including:
- Packaged test collateral that runs in CER Lab, shared stations, and approved partner environments.
- Automation components such as test cases, harness extensions, station utilities, device setup, and result collection.
- Diagnostics that capture the logs, traces, configuration, and reproduction details needed to investigate failures.
- Telemetry and reporting integrations that make results consistent and useful to engineers and program stakeholders.
- AI-assisted workflows that reduce repetitive effort while preserving deterministic test execution.
Requirements & Tech Stack
- Automation (Driving Solution Improvement & Excellence)
- Testing Process (Driving Solution Improvement & Excellence)
- Architecture Design (Designing & Architecting Business Solutions)
- Distributed Systems Application Development (Engineering Robust Software Solutions)
- Quality Assurance (Enhancing Product & Project Execution)
- Languages: C, C++, C#, Java, JavaScript, Python, PowerShell
- Technologies: Windows debugging tools, telemetry, logging
Qualifications
Required 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.
Preferred Qualifications
- 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 a willingness to verify outputs.
- Clear verbal and written communication, curiosity, a growth mindset, and the ability to collaborate effectively in a diverse team.
- Demonstrated focus on customer needs, quality, reliability, and completing commitments.