Senior Software Engineer at Microsoft

Department: Software Engineering

Compensation

$119,800 – $234,700/yr

Setup: On-site
Location: Redmond, Washington
Type: Full-time
Level: senior
Posted: Sep 1, 2026

Description

Microsoft is hiring a Senior Software Engineer to design and operate large-scale distributed systems for Azure AI traffic shaping, scheduling, routing, capacity allocation, quota enforcement, and workload optimization. The role involves building control-plane services for AI workloads, developing algorithms and operational tooling, leading investigations and reliability improvements, and providing technical leadership across Azure AI, OpenAI, Infrastructure, Networking, and Core AI Services. Candidates need a bachelor's degree in computer science or a related field and at least four years of technical engineering experience; the role offers a U.S. base pay range of USD 119,800 to USD 234,700 per year, with higher ranges for the San Francisco Bay area and New York City metropolitan area.

Required Skills

Distributed systems
Traffic shaping
Capacity allocation
Load balancing
C#
Python
Go
Kubernetes
Telemetry
Observability

Additional Information

Minimum Education: Bachelor's degree in Computer Science or a related technical field
Required Previous Experiences: At least 4 years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python or equivalent experience
Preferred Qualifications: Master's degree in Computer Science or a related technical field
6+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or a bachelor's degree plus 8+ years of equivalent experience
At least 3 years of software engineering experience, preferably in distributed systems or cloud infrastructure
Strong coding skills in C#, Python, or Go
Experience with telemetry, metrics pipelines, or resource scheduling systems
Familiarity with Azure, AWS, GCP, Kubernetes, and Service Fabric
Experience operating large-scale services with stringent reliability and availability requirements
Experience with distributed storage systems, telemetry platforms, and real-time data processing
Familiarity with AI/ML infrastructure, GPU fleets, inference serving systems, or large-scale model deployment platforms
Experience leading cross-team initiatives and driving projects from design through production deployment and operation

About Microsoft

Microsoft

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