Senior Software Engineer, AI Infra Management and Ops

Responsibilities

Design and maintain cloud-native services and distributed systems to support platform capabilities and operational excellence at scale. Collaborate across engineering teams to define technical architecture for infrastructure, networking, and accelerated computing environments.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and at least 4 years of technical engineering experience. Candidates must demonstrate proficiency in modern programming languages and possess knowledge of large-scale distributed systems or cloud infrastructure.

Skills

• Distributed systems
• Cloud infrastructure
• Python
• C++
• C#
• Java
• Go
• Rust
• Infrastructure as Code
• CI/CD
• GPU platforms
• High performance computing
• Networking
• Datacenter architecture
• Observability
• Automation

About this role

Overview
Help shape the future of cloud infrastructure and artificial intelligence platforms at unprecedented scale. Our team is building the foundational platform capabilities that power large-scale distributed systems, accelerated computing environments, and next-generation cloud services. You will work at the intersection of software, infrastructure, networking, and datacenter technologies to enable reliable, secure, and scalable platforms that support a broad range of business-critical workloads. You will collaborate with engineering teams across Microsoft to advance platform capabilities, accelerate innovation, and improve operational excellence across diverse infrastructure environments.
As a Senior Software Engineer, you will lead the design and evolution of cloud-native platforms, distributed systems, and infrastructure services that support service lifecycle management, resource orchestration, observability, reliability, and automation. You will help guide technical strategy across multiple engineering investments, contribute to architecture decisions involving compute, networking, storage, and platform services, and collaborate across organizations to deliver capabilities that improve platform efficiency and developer productivity. This opportunity will allow you to deepen your expertise in distributed systems and cloud infrastructure, expand your influence across engineering organizations, and contribute to innovations in Artificial Intelligence (AI) infrastructure, graphics processing unit (GPU) platforms, high-performance networking, and large-scale datacenter systems.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. We cultivate a culture grounded in respect, integrity, accountability, inclusion, collaboration, and continuous learning, enabling individuals and teams to grow, contribute, and make meaningful impact.

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 com...

About Microsoft

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