We are looking for a proactive Software Engineer who enjoys tackling hard problems in developer productivity and engineering efficiency. In this role, you will design and implement solutions that keep developer workflows fast, reliable, and easy to scale—improving automation, reducing toil, and strengthening the end-to-end developer experience. You will also leverage modern AI-assisted engineering tools to accelerate investigation, automate repetitive work, and improve quality—while applying solid engineering judgment, verification, and secure engineering practices.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Own and evolve engineering productivity solutions that keep developer workflows reliable, repeatable, and easy to improve over time.
• Diagnose and resolve complex engineering workflow issues (e.g., CI reliability, dependency and environment drift, performance regressions, and cross-platform inconsistencies).
• Create automation that reduces toil: workflow orchestration, quality gates, dependency updates, CI hardening, and self-service tooling.
• Use AI-assisted tools thoughtfully (e.g., GitHub Copilot, Visual Studio, VSCode) to speed up debugging, code review, documentation, and prototyping—while applying solid engineering judgment and verification.
• Collaborate with partner teams and contribute clear designs, test plans, and engineering documentation.

Required Qualifications:

• 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.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience improving developer workflows through automation and tooling (e.g., CI/CD pipelines, testing automation, developer experience tooling) and a solid understanding of reliability and quality practices.
• Proficiency with developer tools and workflows, including version control (e.g., Git) and CI/CD fundamentals.
• Hands-on knowledge and practical usage of modern AI-assisted engineering tools—such as GitHub Copilot (including Copilot Chat), Visual Studio, VSCode, Microsoft Copilot, Azure AI Studio, and LLM tools—to support tasks like prototyping, debugging, test generation, documentation, and code review, paired with a solid ability to validate outputs and protect sensitive data.
• Experience building and operating developer productivity systems (e.g., CI/CD platforms, internal developer portals, automation services, or engineering workflow tools).
• Experience debugging issues across Windows and Linux in complex codebases, including dependency management and environment configuration.
• Familiarity with AI evaluation and quality practices (prompting patterns, grounding/verification, automated checks) and applying them to engineering workflows.
• Interest in developer productivity: building internal tools, improving CI signal-to-noise, and creating great documentation.

#MicrosoftAI

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.