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Software Engineer II - Full Stack

Microsoft
Redmond, USA
Full-time
Junior · 2+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

You will build and contribute to Windows platform capabilities that connect PCs to a broad ecosystem of printers, cameras, Bluetooth accessories, and mobile connectivity devices, delivering secure, reliable, and seamless experiences.

You will design, implement, test, validate, and release new capabilities, security fixes, and reliability improvements for Windows platform components.

You will write secure, maintainable, and well-tested code and participate in code reviews to ensure changes meet Windows engineering quality standards.

You will use debuggers, automated tests, logs, traces, telemetry, and other diagnostic techniques to validate assumptions, identify risks early, perform root-cause analysis, and prevent customer-impacting issues.

You will use AI-powered development tools to accelerate implementation, testing, debugging, and documentation while applying sound engineering judgment and maintaining high standards for security and quality.

You will apply insights from design reviews, incident investigations, reliability exercises, and team debriefs to improve the development, operation, and long-term health of Windows platform components.

You will collaborate with engineers across Windows and partner teams to review designs, resolve complex technical issues, share technical knowledge, and maintain high standards for code quality and maintainability.

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of software development/design experience.

Proven coding skills in C/C++, or equivalent.

AI technology adoption experience in development.

Experience

with Windows Debugging using WinDbg and/or Visual Studio Debugger.

Proficiency in systematic problem-solving, debugging, and root-cause analysis.

Demonstrated design and development skills.

Ability to prioritize and handle multiple tasks competently.

Ability to quickly learn new technologies and apply core computer science principles.

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