| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$85,400–$168,100 / yr
Posted
56 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $127k
$67k most similar roles pay here $253k

This role pays less than 94% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $127k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Software Engineer on the Azure AI Platform air gapped engineering team, you will design and build secure, scalable cloud services for mission-critical AI workloads across various cloud environments. Your day-to-day involves applying strong engineering fundamentals such as automation, observability, testing, and resiliency to ensure robust service delivery. You will develop automated systems for deployment, validation, telemetry, and operations using modern AI tools like GitHub Copilot and safe Large Language Mode workflows. Additionally, you will participate in on-call rotations, perform root cause analysis, and integrate customer feedback into engineering decisions while collaborating across teams with clear communication and documentation. The role requires proficiency in languages such as C#, Java, JavaScript, or Python, along with experience in Docker, Kubernetes, and cloud platforms like Azure. This position is ideal for engineers who thrive in complex, high-impact spaces and are passionate about contributing to the foundation of global AI infrastructure.

What you'll do

  • Design and maintain secure, reliable cloud services for Azure AI Platform workloads.
  • Develop automated systems for deployment, validation, telemetry, and operations to reduce manual overhead.
  • Use AI-assisted tools to accelerate coding, debugging, documentation, and rapid prototyping.
  • Investigate service issues during on-call rotations and contribute durable fixes for long-term system health.
  • Incorporate customer feedback into engineering decisions following the Foundry Product Way.

What we're looking for

  • Bachelor's Degree in Computer Science or equivalent experience in relevant technical fields.
  • Proven coding experience in C, C++, C#, Java, JavaScript, or Python.
  • Experience with Docker and Kubernetes for containerized applications.
  • Proficiency in C# or Python for developing cloud services.
  • Understanding of CI/CD practices and automation tools.
  • Strong problem-solving skills across cloud services and operational tooling.
  • Willingness to rapidly learn new AI architectures, tooling, and best practices.

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