Software Engineering

Microsoft

Quick summary

Work type: On-site
Location: CANY
Salary: $85,400–$168,100 / yr
Posted: 8 days ago
Closes: Dec 20, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $127k

$70k most similar roles pay here $225k

This role pays less than 78% of similar roles. Most pay $133,770–$210,041 — the shaded band above. At the midpoint, this role pays about $127k versus about $172k 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 377 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 355 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Software Engineering

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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 daily tasks include applying strong engineering fundamentals to automate deployment processes, enhance observability, and ensure system resiliency while leveraging modern AI tools like GitHub Copilot for rapid development. You will also participate in on-call rotations, perform root cause analysis, and integrate customer feedback into your projects. The team uses C#, Python, Docker, Kubernetes, and Azure services extensively, requiring proficiency in these technologies along with a strong background in cloud platforms and CI/CD practices. This role demands expertise in building adaptive systems for the rapidly evolving AI landscape, contributing to foundational infrastructure that powers global AI capabilities.

Skills

Azure Kubernetes Docker Python C# CI/CD GitHub Copilot Terraform PostgreSQL Redis Elasticsearch Prometheus Grafana GitOps

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 to improve 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 related field with coding experience in C, C++, C#, Java, JavaScript, or Python.
Experience designing secure, reliable, and scalable cloud services for air gapped and sovereign environments.
Proficiency in automation, observability, testing, resiliency, and secure by default design principles.
Knowledge of Docker, Kubernetes, and Azure cloud platforms.
Problem-solving skills with a focus on rapid learning and staying current with AI and infrastructure best practices.
Ability to use AI-assisted development tools for coding, debugging, documentation, and prototyping.

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