Senior Software Engineer, CoreAI | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
today
Closes
Dec 2, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 75% of similar roles. Most pay $148,356–$177,250 — the shaded band above. At the midpoint, this role pays about $177k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, CoreAI | Microsoft Careers

As a senior software engineer on the FIT training team within Microsoft’s CoreAI organization, you will contribute to developing cutting-edge AI infrastructure for agentic models, including large language models (LLMs) and semantic language models (SLMs). Your day-to-day responsibilities include collaborating with engineers and researchers to optimize training infrastructure, designing scalable services that meet security and privacy standards, and deploying and monitoring these systems in production environments. You will leverage technologies such as Kubernetes, Python, Go, Rust, C++, and Java to build reliable APIs and backend services for complex cloud platforms. This role requires a strong background in software engineering, with experience in containerized platforms, distributed systems, and cloud infrastructure fundamentals, including identity management, observability, and secure deployment practices.

What you'll do

  • Design and optimize training infrastructure for large language models (LLMs) and semantic language models (SLMs).
  • Build scalable and reliable services to support production traffic in complex cloud environments.
  • Implement security and privacy measures for AI model deployment and monitoring.
  • Lead the development of engineering systems and practices to ensure high service quality.
  • Contribute to the continuous improvement of containerized platforms using Kubernetes or similar tools.

What we're looking for

  • 5+ years of software engineering experience with significant ownership of production services.
  • Strong coding skills in Python, Go, Rust, C++, C#, or Java.
  • Experience building and operating containerized platforms using Kubernetes.
  • Solid understanding of cloud infrastructure fundamentals including security and deployment practices.
  • Demonstrated ability to lead technical design and mentor other engineers.
  • Experience diagnosing production issues using logs, metrics, traces, and dashboards.
  • Strong experience designing reliable production APIs and backend services.

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