Senior Software Engineer, CoreAI

Microsoft

Quick summary

Work type
On-site
Location
Salary
$119,800–$234,700 / yr
Posted
26 days ago
Closes
Nov 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 57% of similar roles. Most pay $155,135–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $186k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, CoreAI

As a Senior Software Engineer on the Azure Managed Redis team within CoreAI, you will lead architecture and design for the runtime infrastructure of one of Azure's fastest-growing data services. Your day-to-day responsibilities include building robust deployment and orchestration systems for distributed Redis clusters across 70+ regions, integrating Redis Enterprise software from Redis Inc., and enhancing observability with AI techniques like GitHub Copilot and large language models. You will write high-quality code in C# or Go, mentor engineers on best practices, and collaborate closely with teams across Azure Compute, Networking, and Storage to build a world-class managed data platform. This role requires expertise in distributed systems, Kubernetes, and experience applying AI technologies to software development workflows, making it an ideal opportunity for those passionate about building planet-scale infrastructure and pushing the boundaries of cloud-native engineering.

What you'll do

  • Lead architecture and design for Azure Managed Redis runtime infrastructure.
  • Build robust deployment and orchestration systems for global distributed clusters.
  • Drive integration of Redis Enterprise software into Azure's managed environment.
  • Architect end-to-end release platform to accelerate velocity and improve safety.
  • Apply AI techniques to enhance DevOps, operations, and engineering workflows.
  • Mentor engineers on distributed systems design patterns and operational best practices.

What we're looking for

  • Extensive experience building and operating distributed, highly scalable online services on Kubernetes in Azure or similar cloud platforms.
  • Proficiency in coding with languages such as C#, Go, Java, JavaScript, or Python for production-grade code development.
  • Strong background in applying AI technologies like large language models to enhance software development workflows.
  • Proven ability to lead architecture and technical direction for runtime infrastructure of critical cloud services.
  • Experience designing robust deployment, upgrade, and orchestration systems for distributed clusters across multiple regions.

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