This role pays more than
55%
of similar roles. Most pay
$152,150–$217,725
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$185k
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.
As a Senior Software Engineer on the Azure AI Platform air gapped engineering team, you will design and build secure, scalable distributed services for critical AI workloads across diverse cloud environments. Your day-to-day involves applying rigorous engineering principles to automate, optimize performance, ensure resiliency, and implement security by default in your services. You’ll develop robust automation tools to enhance deployment workflows and operational efficiency while leveraging modern AI-native tooling like GitHub Copilot to accelerate development cycles. Additionally, you will lead on-call rotations, diagnose complex issues, and drive root cause analyses to deliver durable system improvements. The role requires proficiency in languages such as C#, Python, Java, or JavaScript, along with experience in Docker, Kubernetes, and cloud platforms (Azure preferred), while emphasizing rapid learning and staying current with evolving AI infrastructure trends.
Design secure, scalable distributed services for AI workloads in air gapped cloud environments.
Develop automation and platform tools to enhance deployment, testing, observability, and operational workflows.
Lead investigations during on-call rotations, diagnose complex issues, and drive root cause analyses.
Incorporate customer feedback into technical decisions to align with customer-first innovation principles.
Use AI-native full stack building tools like GitHub Copilot to accelerate design and coding processes.
Enhance system reliability by implementing automation, telemetry, resiliency engineering, and performance optimization.
What we're looking for
Master's Degree in Computer Science or related field with 6+ years of experience, or Bachelor's degree with 8+ years of experience in technical engineering.
Proficiency in programming languages such as C#, Python, Java, JavaScript, C++, or C.
Experience with Docker and Kubernetes for containerization and orchestration.
Background in cloud platforms, preferably Azure, with expertise in cloud scale engineering.
Understanding of CI/CD pipelines and automation best practices.
Strong problem-solving and debugging skills across various cloud services and operational tooling.
Azure
Python
SQL
PostgreSQL
Kubernetes
CI/CD
Docker
Terraform
Prometheus
Grafana
Git
GitHub
Security best practices
AI tools
Test automation
Unit tests
Logging
Telemetry
Least-access principles
Artificial intelligence safety features
Secure Work Area
Air-Gapped environment
Chromium
C++
JavaScript
HTML
CSS
WebAssembly
Git
CI/CD
W3C
Docker
Linux
Windows
MacOS
Cross-platform
Debugging
PerformanceOptimization
RenderingPipeline
BrowserEngine
WebDevelopmentTools
REST_APIs