Microsoft

Senior Software Engineer - AI Infrastructure

Microsoft • $119K — $234K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related field with 4+ years of coding experience in languages like C, C++, C#, Java, JavaScript, or Python.
  • Master's Degree in Computer Science or related field with 6+ years of coding experience, or Bachelor's Degree with 8+ years of experience.
  • Experience in designing and operating large-scale distributed systems or cloud services.
  • Familiarity with Microsoft Azure, Kubernetes, and infrastructure as code.
  • Experience in observability, incident management, and service health monitoring.

Responsibilities

  • Design, build, and operate large-scale distributed systems for AI models and services.
  • Drive architecture and implementation of cloud platform capabilities for AI workloads.
  • Partner with teams to translate complex requirements into scalable solutions.
  • Lead development of secure and observable services using Site Reliability Engineering principles.
  • Enhance developer productivity through self-service experiences and automation.
  • Analyze production systems to identify performance and reliability improvements.
  • Mentor engineers and contribute to technical strategy and engineering excellence.

Benefits

  • Comprehensive health and wellness programs.
  • Flexible work arrangements and remote work options.
  • Professional development opportunities and training.
  • Access to cutting-edge technology and resources.
  • Collaborative and inclusive work environment.
Full Job Description
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.

Responsibilities

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 technical strategy, and influence engineering excellence through design reviews, knowledge sharing, and cross-team collaboration.


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.

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience designing, building, and operating large-scale distributed systems or cloud services with high availability, reliability, and performance requirements
  • Experience with Microsoft Azure, Kubernetes, containers, infrastructure as code, and modern continuous integration and continuous deployment (CI/CD) systems.
  • Experience operating production services, including observability, incident management, capacity planning, and service health monitoring.
  • Experience building developer platforms, control planes, orchestration systems, workflow engines, or platform services used by other engineering teams


#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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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