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Senior Software Engineer (Azure Specialized)

Microsoft

🟢 Active · Posted 6/7/2026  ·  👁 28 views  ·  👥 1 applied

✅ Verified
📍 LocationRemote
💼 Job TypeFull-Time
⏱ Experience 4+ Years (Software Engineering) and 2+ Years (Deep Learning / AI Infrastructure / Distributed Systems
🎓 Qualification Bachelor's or Master's Degree in Computer Science or related technical field (or equivalent professional experience)
💰 Salary USD $119,800 - $234,700 per year (SF/NYC range: $160,200 - $261,000)
🛠 Skills AI Infrastructure Engineering, Deep Learning Middleware, Hardware-Software Co-Design, Distributed Systems, High Performance Computing (HPC), GPU Differentiation, C#, Python, PowerShell, Cloud Service Production Support, Architecture Dependency Mapping, On-Call DRI Operations

Job Description

Microsoft is seeking a highly skilled and system-oriented Senior Software Engineer to join our elite Azure Specialized division in a fully remote capacities across the United States. This high-impact role focuses on hardware-software co-design, developing fundamental cloud platforms for GPU-accelerated workloads, and engineering scalable architectures to support 100X capacity growth in AI training and inferencing infrastructures.

Key Responsibilities & Scope of Work

  • AI Cloud Infrastructure Engineering: Architect, build, and optimize scalable end-to-end virtual desktop, gaming, and AI computing platform layers spanning fiber switches, GPU interfaces, cluster structures, and custom rack designs.
  • Extensible Code Production: Code, refactor, and maintain core system automation utilities using C#, Python, and PowerShell, applying strict software design principles to optimize Return on Investment (ROI).
  • Distributed Systems Validation: Manage distributed high-performance computing (HPC) workflows and multi-node replication infrastructure arrays to keep platforms consistent under intense user demand.
  • Dependency & Design Architecture: Take ownership of structural dependency mapping and author comprehensive technical design documents for next-generation platform services.
  • Production Systems Support & DRI Operations: Act as a Designated Responsible Individual (DRI), monitoring live production environments for system downtime, resolving incident escalations on-call, and tracking stability playbook rules.
  • Partner & Ecosystem Alignment: Coordinate directly with internal engineering squads and global industry partners to align product release timelines with overarching customer experience metrics.

Required Qualifications & Technical Stack

  • Professional Experience: 4 or more years of robust technical software engineering experience, combined with a minimum of 2 years dedicated to Deep Learning models, machine learning middleware, or hardware-software co-design.
  • Core Technical Stack Foundations: In-depth structural understanding of hardware/software interactions, large-scale algorithms, data access routing protocols, and multi-tenant cloud service operations.
  • Security Screening Verification: Willingness and capacity to clear the specialized Microsoft Cloud Background Check upon onboarding and recurrently every two years thereafter.
  • Core Soft Skills: Strong growth mindset, exceptional analytical troubleshooting, clear technical communication to navigate cross-functional boundaries, and full comfort managing problems under ambiguity.
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