Role at a glance
- Job function
-
Software Engineering & IT Cloud & Infrastructure Engineering DevOps & Site Reliability Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Multiple Locations, United States United States
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Senior Level Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Education
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages...
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Role Summary
The Senior Software Engineer designs and evolves cloud-native platforms, distributed systems, and infrastructure services. The role works across engineering organizations on platform architecture and operational capabilities for AI infrastructure, accelerated computing, and large-scale datacenter systems.
What You'll Do
- Design, develop, and maintain cloud-native services and distributed systems supporting platform capabilities and service lifecycle...
- Collaborate across engineering organizations on technical direction and architecture for infrastructure, cloud services, networking,...
- Guide platform capabilities for deployment automation, observability, reliability, scalability, and developer productivity.
- Advance CI/CD, Infrastructure as Code, testing, security, monitoring, and operational readiness practices.
- Contribute to AI infrastructure, HPC platforms, bare-metal infrastructure, GPU environments, datacenter architecture, and networking...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Preferred
- Recognized for delivering technical solutions spanning multiple engineering teams, organizations, or business areas.
- Ability to simplify complex technical challenges into practical, scalable, and maintainable solutions.
- Ability to influence technical direction through collaboration, architectural leadership, technical mentoring, and cross-organizational...
- Knowledge of large-scale distributed systems, cloud-native platforms, or infrastructure services for business-critical production...
- Familiarity with AI infrastructure, HPC environments, accelerated computing platforms, or large-scale GPU deployments.
- Knowledge of datacenter architecture, rack-scale infrastructure, network topology design, and modern datacenter networking technologies.
- Familiarity with InfiniBand fabrics, NVLink, NVSwitch, Ethernet networking, RDMA, SmartNICs, or DPUs supporting large-scale compute...
- Understanding of bare-metal infrastructure, hardware lifecycle management, fleet operations, infrastructure telemetry, or platform...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Responsibilities
- Design, develop, and maintain cloud-native services and distributed systems that support platform capabilities, service lifecycle management, and operational excellence at scale.
- Collaborate across engineering organizations to help define technical direction and architecture for platform infrastructure, cloud services, networking, storage, compute, and operational excellence investments.
- Guide the development of platform engineering capabilities that improve deployment automation, service lifecycle management, observability, reliability, scalability, and developer productivity.
- Advance software engineering practices including Continuous Integration and Continuous Delivery (CI/CD), Infrastructure as Code (IaC), testing, security, monitoring, and operational readiness throughout the engineering lifecycle.
- Contribute to the design and operation of Artificial Intelligence (AI) infrastructure, High Performance Computing (HPC) platforms, bare-metal infrastructure, graphics processing unit (GPU) environments, and large-scale distributed computing systems.
- Collaborate on datacenter architecture and networking solutions, including rack-scale systems, network topology design, Ethernet fabrics, InfiniBand fabrics, Remote Direct Memory Access (RDMA), Smart Network Interface Cards (SmartNICs), Data Processing Units (DPUs), and accelerated computing platforms.
- Foster a culture of technical excellence through architecture collaboration, mentorship, knowledge sharing, design review participation, and support for engineering excellence across the broader organization
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Other Requirements:
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
Preferred Qualifications:
- Recognized for delivering technical solutions that span multiple engineering teams, organizations, or business areas.
- Demonstrated ability to simplify complex technical challenges and translate them into practical, scalable, and maintainable solutions.
- Proven ability to influence technical direction through collaboration, architectural leadership, technical mentoring, and cross-organizational partnerships.
- Knowledge of large-scale distributed systems, cloud-native platforms, or infrastructure services supporting business-critical production environments.
- Familiarity with Artificial Intelligence (AI) infrastructure, High Performance Computing (HPC) environments, accelerated computing platforms, or large-scale graphics processing unit (GPU) deployments.
- Knowledge of datacenter architecture, rack-scale infrastructure, network topology design, and modern datacenter networking technologies.
- Familiarity with InfiniBand fabrics, NVLink, NVSwitch, Ethernet networking, Remote Direct Memory Access (RDMA), Smart Network Interface Cards (SmartNICs), or Data Processing Units (DPUs) supporting large-scale compute environments.
- Understanding of bare-metal infrastructure, hardware lifecycle management, fleet operations, infrastructure telemetry, or platform operations at scale.
- Proficiency in one or more modern programming languages such as Go, Rust, C#, Java, or Python.
#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
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.