Senior Software Engineer - CoreAI | Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 4 days ago
Closes: Nov 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 78% of similar roles. Most pay $146,125–$177,250 — the shaded band above. At the midpoint, this role pays about $177k versus about $162k 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

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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 while mentoring engineers on best practices and operational excellence. This role requires expertise in building scalable online services on Kubernetes, experience with AI technologies in development workflows, and a strong background in distributed systems and cloud infrastructure.

Skills

Azure Kubernetes C# Go Redis GitHub Copilot LLMs Anomaly-detection models CI/CD Prometheus Grafana Docker Python C++ Java JavaScript Unit testing Integration testing End-to-end system tests

What you'll do

Lead architecture and design for Azure Managed Redis runtime infrastructure.
Build robust deployment and orchestration systems for distributed Redis clusters.
Drive integration of Redis Enterprise software into Azure's managed environment.
Architect end-to-end release platform to accelerate release 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

6+ years of technical engineering experience with coding in languages such as C#, Java, JavaScript, or Python.
2+ years of experience building and operating distributed and highly scalable online services on Kubernetes in Azure or a similar cloud platform.
Experience applying AI technologies like large language models or code generation tools in software development workflows.
Demonstrated ability to enhance engineering systems, developer speed, and product quality at scale.
Strong background in designing and delivering foundational platform capabilities for hyperscale managed services.

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