Distributed Systems Engineer, zCLOUD

The Distributed Systems Engineer builds and operates the scalable, fault-tolerant distributed systems that power zCLOUD, including the control planes for GPU and resource orchestration. The role owns services from design through production operation., * zCLOUD systems: design and build the distributed systems that power the zCLOUD platform.

• Control planes: develop control planes for GPU and resource orchestration.
• Fault tolerance: build scalable, fault-tolerant services for multi-tenant environments.
• Performance at scale: improve system reliability, latency and throughput at scale.
• Integration: work with GPU systems and research teams on integration.
• Observability: implement observability, monitoring and debugging capabilities.
• Service ownership: own services from design through production operation.
• Documentation: document system architecture and operational best practices.

Distributed Computing, Systems Engineering, Artificial Intelligence (AI), High Tech Industry, GPU (Graphics Processing Unit), Computer Software, Network Operations Center, Cloud Computing, OEM (Original Equipment Manufacturer), Systems Engineering, * 5+ years of experience building distributed systems

• A strong understanding of concurrency, consistency and fault tolerance
• Experience designing APIs and service-oriented architectures
• Comfort operating and debugging systems in production
• A strong ownership mindset and engineering rigour

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

What Success Looks Like (First 90 to 180 Days)

• At least one zCLOUD service owned end to end in production
• Control-plane improvements measured in reliability, latency or throughput
• Monitoring and debugging in place for owned services
• Architecture and operational practices documented

AI computing company: we turn GPU hardware into reliable, high-utilisation AI compute through software, orchestration and full lifecycle operations.

• What we offer: enterprise GPU cloud and AI inference, software for data centre owners to run their own GPU clouds, turnkey and sovereign AI data centres, edge computing and GPU financing
• Who we work with: GPU owners, data centre operators, enterprises, OEMs, integrators and financiers across multiple markets
• How we work: fast-moving and high-accountability; we value speed, ambition, clarity, ownership and measurable outcomes, Why This Role Matters
• Built for GPUs: zCLOUD is a cloud designed for GPU-driven AI workloads.
• Always available: this role builds the control planes that keep it consistent and reliable.

Working Norms at Zettabyte

• Bias to action: deliver drafts quickly, then iterate on feedback
• Be precise: double-check numbers and facts; sloppy analysis creates downstream cost
• Make it usable: package outputs for decision-making, not data dumps
• Own the process: whoever drives a deliverable manages stakeholders and timelines
• Learn the ecosystem: understand GPUs, cluster operations and the buyer landscape

Interested in This Position?