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September 27, 2026
Software Engineer II (AI Infrastructure)
Mid
133,800 - 219,200 USD/yr
Redmond, WA
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Quick Facts
- Role: Software Engineer II (AI Infrastructure)
Description
As a Software Engineer II in AI Infrastructure, you will design, develop, test, deploy, and operate large-scale distributed systems and platform services for mission-critical cloud experiences. You will build infrastructure capabilities for resource management and workload orchestration, develop C# control plane services on Kubernetes (AKS), and handle operational support and on-call responsibilities. You will analyze complex production issues, identify root causes, and implement durable improvements to scalability, maintainability, efficiency, and service health.
Responsibilities
- Design, develop, test, deploy, and operate large-scale distributed systems for reliability, scalability, security, and high performance
- Build and enhance infrastructure capabilities for resource management and workload orchestration to optimize efficiency, utilization, availability, and performance
- Develop features for capacity management, service scalability, policy-driven decision making, workload placement, prioritization, and operational flexibility
- Collaborate with engineers and cross-functional partners to define technical requirements and influence architecture
- Develop, test, and maintain control plane services in C# hosted on Kubernetes (AKS)
- Analyze complex production issues, identify root causes, implement sustainable solutions, and provide operational support / DRI on-call
- Contribute to engineering best practices through design reviews, code quality, knowledge sharing, and mentorship
Requirements
- Bachelor’s degree in Computer Science or related technical field AND 2+ years technical engineering experience
- Coding experience in one or more of: C, C++, C#, Java, JavaScript, Python
- OOP proficiency and practical familiarity with common code design patterns
- 2+ years of service development in a distributed environment (dev-ops role), including concurrency management and stateful resource management
- Hands-on experience with public cloud services at the IaaS level
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