Senior Software Engineer - AI Infrastructure

Senior Software Engineer - AI Infrastructure

United States, Washington, Redmond

+1 more

Job description

Company and benefits

Job number

200058368

Date posted

Oct 02, 2026

Work site

3 days / week in-office

Travel

Less than 25%

Profession

Software Engineering

Discipline

Software Engineering

Role type

Individual Contributor

Employment type

Full-Time

Overview

Team Purpose:

Help shape the platform that powers the next generation of artificial intelligence across Microsoft. As part of the Artificial Intelligence Infrastructure organization, you will build foundational platform services that enable the deployment, management, governance, and operation of large-scale Artificial Intelligence models and services across Microsoft. You will work at the intersection of cloud infrastructure, developer experience, reliability engineering, and Artificial Intelligence innovation, solving complex challenges that directly impact the speed, quality, and scale at which Microsoft delivers Artificial Intelligence products to customers worldwide.

Role Summary

As a Senior Software Engineer, you will design, build, and operate highly scalable platform services that enable teams across Microsoft to onboard, deploy, monitor, govern, and manage Artificial Intelligence workloads throughout their lifecycle. You will collaborate closely with engineers, product leaders, researchers, and platform teams to deliver resilient cloud services, improve operational excellence, and accelerate the adoption of Artificial Intelligence infrastructure capabilities across Microsoft.

This opportunity will allow you to:

• Build foundational platform technologies that power some of Microsoft's most strategic Artificial Intelligence initiatives.
• Develop deep expertise in large-scale distributed systems, cloud infrastructure, reliability engineering, and Machine Learning Operations platforms.
• Expand your technical leadership skills by driving architecture, influencing engineering strategy, and partnering across multiple organizations to deliver high-impact outcomes.

Microsoft Culture

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.

Responsibilities

• Design, build, and operate large-scale distributed systems that power the lifecycle of Artificial Intelligence (AI) models and services across Microsoft.
• Drive architecture, implementation, and evolution of cloud platform capabilities that improve deployment velocity, reliability, governance, and operational excellence for AI workloads.
• Partner with engineering, product management, and research teams to translate complex business and technical requirements into scalable platform solutions.
• Lead the development of highly available, secure, and observable services leveraging Site Reliability Engineering (SRE) principles and best practices.
• Improve developer productivity by creating self-service experiences, automation, and tooling that simplify onboarding, deployment, monitoring, and management of AI applications.
• Analyze production systems, identify performance and reliability opportunities, and drive continuous improvements through data-driven engineering decisions.
• Mentor engineers, contribute to tec