below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$149,500–$178,175
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$164k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Senior Software Engineer joins the Azure Core Compute team to develop the foundational kernel of the Microsoft Compute Cloud. This role involves building a fault-tolerant distributed system on commodity hardware to provide infinitely elastic virtual machines. Key responsibilities include developing highly scalable microservices to improve cluster density, managing capacity prioritization using machine learning models, and rearchitecting the billing pipeline to handle massive growth. The engineer will design solutions for availability, security, and performance while working across the full technology stack. Required skills include proficiency in C, C++, C#, Java, .NET, or Python, along with experience in REST APIs, NoSQL databases, Big Data technologies, and containers. The work focuses on solving large-scale engineering challenges like reducing cluster fragmentation and implementing fraud detection for cloud capacity.
What does a Software Engineer earn in Remote?
Median $208800 from 354 postings across 50 companies.
Design and build fault-tolerant distributed systems on commodity datacenter hardware.
Develop microservices to manage capacity prioritization using real-time signals and machine learning models.
Build fraud detection features to ensure Azure capacity is prioritized to the correct customers.
Rearchitect and build the entire billing pipeline to scale for future growth.
Implement algorithmic and architectural changes to improve parallelization and workflow efficiency.
Develop cloud-native solutions using containers, REST APIs, NoSQL databases, and Big Data technologies.
Use telemetry and monitoring data to continuously improve service health and customer experience.
Design solutions focused on availability, security, scalability, performance, and disaster recovery.
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, .NET, or Python (or equivalent experience).
Ability to pass the Microsoft Cloud Background Check upon hire and every two years thereafter.
Experience with source control and build systems (preferred).
Experience working on large scale distributed systems (preferred).
Experience implementing REST APIs and micro-services for 6+ years (preferred).
Experience handling multiple workstreams in parallel (preferred).
Experience leveraging AI and building solutions at scale (preferred).
Master's Degree in Computer Science and 6+ years of experience, or Bachelor's Degree and 8+ years of experience in coding with C#, Java, .NET, or Python (preferred).
Java
Python
Go
C++
C#
Kubernetes
Docker
RESTful APIs
CI/CD
Linux
Oracle Cloud Infrastructure
Distributed Systems
GitHub Copilot
Codex
Claude Code
Infrastructure Automation
Service Observability