Distributed Systems Engineer – zCLOUD

What You’ll Do

• Design and build distributed systems powering the zCLOUD platform
• Develop control planes for GPU and resource orchestration
• Build scalable, fault-tolerant services for multi-tenant environments
• Optimize system reliability, latency, and throughput at scale
• Collaborate with GPU systems and research teams on integration
• Implement observability, monitoring, and debugging capabilities
• Own services from design through production operation
• Document system architecture and operational best practices

You’ll Thrive Here if You

• Have 5+ years of experience building distributed systems
• Possess a strong understanding of concurrency, consistency, and fault tolerance
• Have experience designing APIs and service-oriented architectures
• Are comfortable operating and debugging systems in production
• Demonstrate a strong ownership mindset and engineering rigor

Bonus Qualifications

• Experience with cloud platforms or large-scale infrastructure
• Familiarity with scheduling or resource management systems
• Experience supporting AI or data-intensive workloads
• Background in platform or control-plane engineering

Why This Role is Unique

You will help build the backbone of a new cloud paradigm designed specifically for GPU-driven AI workloads.

Details

• Competitive salary and equity based on experience and skill set
• Flexible work environment
• Applicants must be authorized to work in their respective location

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