Microsoft

Senior Software Engineer

Microsoft  •  $160k - $261k/yr  •  Washington, DC / Redmond, WA (Onsite)  •  30 minutes ago
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Job Description

Overview

Team Purpose

The Artificial Intelligence (AI) Infrastructure Engineering Systems team at Microsoft builds the cloud platform, engineering infrastructure, and developer systems that enable teams to develop, deploy, and operate AI services at scale. You will help create foundational capabilities spanning build and release systems, Kubernetes, networking, observability, infrastructure automation, security, and service lifecycle management. Working closely with AI researchers, product engineers, and hardware teams, you will help provide reliable and consistent paths from development to production within a multidisciplinary, collaborative, and inclusive engineering team.

Role Summary

As a Staff Engineer - AI Infrastructure Reliability in the AI Infrastructure Engineering Systems team, you will design, implement, and ensure the reliability and quality of engineering platforms, developer tooling, and Azure integrations. This hands-on technical role covers architecture, design, implementation, testing, deployment, and production operations for large-scale AI training and inference platforms. You will contribute heavily to incident management, automated validation, compute fleet efficiency, observability, and internal tooling that improves developer velocity and system reliability.

This opportunity will allow you to deepen your distributed-systems and cloud-platform knowledge, advance reliability practices for rapidly evolving AI workloads, and grow your technical leadership across multidisciplinary teams.

Microsoft Culture Statement

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

Responsibilities

  • Design, build, and optimize components of distributed AI platforms to improve availability, performance, scalability, reliability, and cost efficiency.
  • Lead incident-management efforts and engineer technical solutions that systematically reduce Time to Detect (TTD), Time to Mitigate (TTM), and Time to Resolve (TTR) across AI training and inference workloads.
  • Build and scale automated validation frameworks and test suites that identify regressions early and maintain system stability.
  • Implement graphics processing unit (GPU) and compute fleet optimizations that improve resource utilization, throughput, and operational efficiency at scale.
  • Develop platform services, internal tools, and automation that streamline engineering workflows, improve developer velocity, and raise code quality standards.
  • Write production code, build telemetry and observability tools, and debug complex system issues to resolve root causes and prevent incident recurrence.
  • Provide technical leadership, mentor engineers, and lead multi-team initiatives across infrastructure, security, networking, and service teams.

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 reading, writing, and debugging high-quality production code across a large, complex codebase for internet-scale services, distributed systems, or compute platforms.
  • Experience building automated validation frameworks and developer-productivity tools.
  • Experience serving as a technical lead, mentoring engineers, and executing multi-team engineering initiatives.
  • Experience with AI training and inference infrastructure, incident management, and reliability measures such as TTD, TTM, and TTR.

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.

Microsoft

About Microsoft

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Redmond, Washington
Year Founded
Unknown
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