Distributed Systems Engineer, zCLOUD

About ZettabyteAI 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 financingWho we work with: GPU owners, data centre operators, enterprises, OEMs, integrators and financiers across multiple marketsHow we work: fast-moving and high-accountability; we value speed, ambition, clarity, ownership and measurable outcomesRole SummaryThe 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.Key ResponsibilitieszCLOUD 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.Required Qualifications5+ years of experience building distributed systemsA strong understanding of concurrency, consistency and fault toleranceExperience designing APIs and service-oriented architecturesComfort operating and debugging systems in productionA strong ownership mindset and engineering rigourBonus QualificationsExperience with cloud platforms or large-scale infrastructureFamiliarity with scheduling or resource management systemsExperience supporting AI or data-intensive workloadsBackground in platform or control-plane engineeringWhat Success Looks Like (First 90 to 180 Days)At least one zCLOUD service owned end to end in productionControl-plane improvements measured in reliability, latency or throughputMonitoring and debugging in place for owned servicesArchitecture and operational practices documentedWhy This Role MattersBuilt 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 ZettabyteBias to action: deliver drafts quickly, then iterate on feedbackBe precise: double-check numbers and facts; sloppy analysis creates downstream costMake it usable: package outputs for decision-making, not data dumpsOwn the process: whoever drives a deliverable manages stakeholders and timelinesLearn the ecosystem: understand GPUs, cluster operations and the buyer landscape