This role pays more than
70%
of similar roles. Most pay
$149,500–$188,452
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$169k
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
597 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 570 roles with salary data.
As a Sr. Software Engineering professional, you will lead the investigation and analysis of complex distributed systems to trace fault causation and identify bottlenecks or load concentrations. You will act independently to mitigate issues while defining automated algorithms to distribute load more effectively across teams and organizations. Your daily work involves establishing heuristics robust to degraded hardware, identifying patterns for systemic improvement, and communicating with customers regarding storage technology opportunities. As a Designated Responsible Individual, you will mentor engineers, manage on-call rotations to monitor for service degradation, and drive consistency in monitoring and operations at scale. You must possess experience coding in languages such as C, C++, C#, Java, JavaScript, or Python. This role focuses on improving the availability, reliability, efficiency, observability, and performance of products within a complex distributed systems environment.
What does a Software Engineering earn?
Median $152250 from 39 postings across 11 companies.
Azure
Distributed Systems
C
C++
C#
Java
Python
Cloud Computing
Data Structures
Algorithms
Telemetry Analysis
GitHub Copilot
Microsoft Copilot
Disaster Recovery
Scalability
Performance Optimization
Distributed Systems
Python
C++
C#
Java
JavaScript
Container Orchestration
Data Infrastructure
Storage Systems
Streaming Platforms
Network Infrastructure
Observability
Telemetry
open-source
Model Inference
GPU Computing
Distributed Training