Staff Platform Engineer - Multi-Cloud GPU & Kubernetes

Reflection AI Ltd; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited PTO

Visa sponsorship

Team off-sites

Job summary

Reflection AI Ltd. in the United States (New York) is seeking a Platform Engineer for our Compute Platform team. You will help manage a Kubernetes-based, multi-cloud cluster across multiple neo-clouds, focusing on health checks, remediation, and scalable GPU workloads.

Collaborate with training teams to design fault tolerance, node health checks, and performance strategies while shaping the infrastructure roadmap for future GPU deployments.

Qualifications

• Systems engineering with a focus on cluster-wide behavior and maintenance.
• Strong coding ability and focus on systems or GPU infrastructure.
• Deep GPU hardware knowledge beyond standard Kubernetes, NCCL familiarity.
• Alignment with a Kubernetes-first architecture.
• Cloud storage expertise across multiple data centers and datasets at scale.

Responsibilities

• Cluster management and automatic remediation tooling.
• Platform engineering for large multi-GPU workloads.
• Implement cluster-wide monitoring and performance benchmarks.
• Prepare infra for next-gen GPU deployments and multi-cloud storage.

Skills

Systems engineering

GPU infrastructure

Kubernetes

Cloud storage

Job description

Reflection AI Ltd. in the United States (New York) is seeking a Platform Engineer for our Compute Platform team. You will help manage a Kubernetes-based, multi-cloud cluster across multiple neo-clouds, focusing on health checks, remediation, and scalable GPU workloads.

Collaborate with training teams to design fault tolerance, node health checks, and performance strategies while shaping the infrastructure roadmap for future GPU deployments.