Responsibilities
- Design - Own the design of key parts of our platform for routing AI traffic and managing computing capacity. Write design proposals, compare options, and make sure designs meet goals for speed, reliability, scale, and cost.
- Coding - Write clear, secure, well-tested code and set a good example for the team. Give thoughtful, timely code reviews that help others grow.
- Implement - Break work into clear, dependable milestones with program managers. Use feature flags and gradual rollouts to test changes safely, measure their impact, and roll back quickly when needed.
- Reliability and Supportability - Take part in the on-call rotation as a designated responsible individual (DRI). Add monitoring and dashboards, improve troubleshooting guides, and help reduce how often incidents happen.
- Understand User Requirements - Work with product managers and partner teams to understand what customers need and turn those needs into clear technical requirements.
- Engineering Excellence - Build security, privacy, and compliance into every stage of your work, from design to deployment. Automate testing and releases, and share what you learn with the team.
- AI-Native Development - Use artificial intelligence (AI) tools across the software development lifecycle (SDLC), from writing code and tests to investigating live issues. Take responsibility for AI-generated work and help teammates do the same.
- Embody our Culture and Values
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or Go
- OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or Go
- OR Bachelor's Degree in Computer Science or related technical field
- AND 8+ years technical engineering experience building distributed systems with coding in languages including, but not limited to, C#, Java, or Go
- OR equivalent experience.
- OR Bachelor's Degree in Computer Science or related technical field
- 3+ years of experience running distributed services on public cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- 2+ years of experience with systems that route or schedule traffic, or that allocate computing resources.
- Experience with Python, Docker, and Kubernetes.
- Experience with AI or machine learning (ML) infrastructure, such as serving models in production or managing GPU fleets.
- Experience delivering projects with partner teams, from design through launch and operation.
- Experience being on call for highly available services and improving monitoring to reduce incidents.
#AIINFRA
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.
Skills Required
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience building distributed systems with C#, Java, Go, or equivalent experience
- Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check
- Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience building distributed systems with C#, Java, Go, or equivalent experience
- Bachelor's degree in Computer Science or a related technical field and 8+ years of technical engineering experience building distributed systems with C#, Java, Go, or equivalent experience
- 3+ years of experience running distributed services on public cloud platforms such as Microsoft Azure, AWS, or GCP
- 2+ years of experience with systems that route or schedule traffic or allocate computing resources
- Experience with Python, Docker, and Kubernetes
- Experience with AI or machine learning infrastructure, including production model serving or GPU fleet management
- Experience delivering projects with partner teams from design through launch and operation
- Experience being on call for highly available services and improving monitoring to reduce incidents
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
-
Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
-
Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
-
Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
