below marketmost similar roles pay hereabove market
This role pays more than
68%
of similar roles. Most pay
$149,500–$193,000
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$171k
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
634 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 612 roles with salary data.
As a Senior Software Engineer - AI Infrastructure, you will join the Artificial Intelligence Infrastructure organization to build foundational platform services for large-scale AI models. You will design, build, and operate highly scalable distributed systems that manage the lifecycle of AI workloads, focusing on deployment, monitoring, governance, and operational excellence. Your daily work involves translating complex requirements into resilient cloud services, improving developer productivity through automation, and leading architecture for high-availability systems. You will utilize skills in C, C++, C#, Java, JavaScript, or Python, alongside experience in Microsoft Azure, Kubernetes, containers, infrastructure as code, and CI/CD systems. The role addresses the technical challenge of providing reliable, observable, and secure platform capabilities to accelerate the adoption of AI infrastructure across the enterprise.
What does a Software Engineer earn?
Median $196750 from 2546 postings across 156 companies.
Design, build, and operate large-scale distributed systems for the AI model lifecycle.
Drive the architecture and evolution of cloud platform capabilities for AI workloads.
Translate complex business and technical requirements into scalable platform solutions.
Develop highly available, secure, and observable services using SRE principles.
Create self-service experiences, automation, and tooling to improve developer productivity.
Analyze production systems to identify and drive performance and reliability improvements.
Mentor engineers and influence technical strategy through design reviews and knowledge sharing.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Bachelor's Degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Equivalent experience to the required degree and years of experience (preferred).
Experience designing, building, and operating large-scale distributed systems or cloud services with high availability, reliability, and performance requirements (preferred).
Experience with Microsoft Azure, Kubernetes, containers, infrastructure as code, and modern CI/CD systems (preferred).
Experience operating production services, including observability, incident management, capacity planning, and service health monitoring (preferred).
Experience building developer platforms, control planes, orchestration systems, workflow engines, or platform services used by other engineering teams (preferred).