This role pays more than
70%
of similar roles. Most pay
$149,500–$189,212
— 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 Senior Software Engineer on the Fleet Health Team within Microsoft 365 Core Platform, you will build and operate large-scale distributed systems that analyze telemetry from servers, storage devices, networking infrastructure, and repair workflows. You will develop telemetry and analytics platforms to process health signals at hyperscale while building predictive models for hardware failure detection, anomaly detection, and fleet risk forecasting. The role involves creating AI-assisted experiences for incident investigation and implementing automated remediation workflows to reduce operational toil. You will utilize programming languages such as C, C++, C#, Java, JavaScript, or Python, alongside tools like Azure Data Explorer, Spark, Fabric, and Databricks. This position focuses on the critical infrastructure problem of ensuring reliability, availability, and efficiency for global cloud fleets by transforming raw telemetry into actionable insights through data science and machine learning techniques.
What does a Software Engineer earn in Washington?
Median $202800 from 341 postings across 36 companies.
Design and build large-scale distributed services to improve fleet reliability and operational efficiency.
Develop telemetry and analytics platforms to process infrastructure health signals at hyperscale.
Build predictive models for hardware failure detection, repair recommendations, and risk forecasting.
Analyze data from servers, storage, and networking equipment to identify reliability improvements.
Create AI-assisted tools to accelerate incident investigation and root cause analysis.
Implement automated remediation workflows to reduce operational burden while maintaining safety controls.
Drive technical projects from initial design through deployment and production ownership.
What we're looking for
Bachelor's Degree in Computer Science or related field and 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass a Microsoft Cloud background check every two years.
Master's Degree and 6+ years of experience, or a Bachelor's Degree and 8+ years of experience (preferred).
Experience designing and operating distributed systems and cloud services at scale (preferred).
Experience with hardware infrastructure, storage systems, server platforms, networking systems, or datacenter operations (preferred).
Experience using data science, machine learning, forecasting, or predictive analytics to solve engineering problems (preferred).
Experience with telemetry and data platforms like Azure Data Explorer, Spark, Fabric, or Databricks (preferred).
Tier 2 or Tier 3 United States Government clearance to work in secure Microsoft cloud environments (preferred).