This role pays more than
64%
of similar roles. Most pay
$149,500–$206,450
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$178k
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
588 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 570 roles with salary data.
Senior Software Engineer - Full Stack AI/ML joins the Engineering Operations team within Azure Reliability to drive transformation toward AI-powered operations. This role focuses on building scalable ML infrastructure to create autonomous, reliable, and secure cloud systems while implementing MLOps practices and responsible AI policies. You will partner across product groups to design distributed systems, develop extensible code, and establish standards for system architecture and platform development. Day-to-day responsibilities include leading technical initiatives in test maturity, static analysis, and incident response while mentoring others on best practices. The role requires proficiency in C, C++, C#, Java, JavaScript, or Python, along with experience in Azure or other cloud platforms. Key competencies include AI/ML systems, risk assessment, intelligent automation, DevOps, CI/CD, infrastructure as code, service reliability engineering, and analyzing large datasets to drive operational improvements.
What does a Software Engineer earn?
Median $197500 from 1953 postings across 141 companies.
Apply expertise in distributed systems design and cloud technology layers across multiple product groups.
Mentor others to produce extensible and maintainable code used across various products.
Develop and evangelize best practices and standards to improve system, platform, and product development.
Drive continuous improvements in architecture, code, features, and operations using end-to-end technical expertise.
Improve product fundamentals and share knowledge to ensure tools are useful to multiple teams.
Provide technical leadership during test maturity reviews, static analysis, and incident responses.
Resolve major incidents by providing deep business and technical expertise.
What we're looking for
Bachelor's Degree in Computer Science or related field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass Microsoft Cloud Background Check and other required security screenings.
Experience building software and services on Microsoft Azure or other cloud computing platforms.
Master's Degree in Computer Science or related field and 6+ years of technical engineering experience (preferred).
Bachelor's Degree in Computer Science or related field and 8+ years of technical engineering experience (preferred).
Experience with Artificial Intelligence, Machine Learning, risk assessment systems, or intelligent automation solutions (preferred).
Experience with DevOps practices, CI/CD, infrastructure as code, and service reliability engineering (preferred).
Experience analyzing large datasets and leading technical initiatives to influence architecture and engineering best practices (preferred).
Azure
Python
C++
C#
Java
JavaScript
C
Machine Learning
Distributed Systems
CI/CD
DevOps
Azure OpenAI
Azure ML
Azure AI Studio
Software Architecture
SDLC
Telemetry