Compute Platform Lead: Multi-Cloud Systems & GPU

reflectionai; San Francisco, New York (CA, NY); On-site; USD 200,000 - 280,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited PTO

Visa sponsorship

Job summary

Reflection is seeking a Compute Platform Lead to build and mentor a high-performing systems team responsible for a multi-cloud Kubernetes-based compute platform. You will guide architectural decisions, balance hands-on work with leadership, and work closely with training teams to ensure fault tolerance and scalable GPU deployments.

The role emphasizes growth, vendor management, and long-term fleet readiness.

Qualifications

• Experience building and growing systems teams while staying technically hands-on.
• Deep systems engineering with a focus on cluster-wide behavior and maintenance.
• Strong coding ability and the credibility to earn the technical trust of a strong team.
• Depth in orchestration, storage, or GPU hardware with ability to learn the rest.
• Alignment with a Kubernetes-first architecture.

Responsibilities

• Build, mentor, and grow a high-performing team of systems engineers.
• Provide front-line leadership to keep the compute fleet reliable and highly available across multi-cloud environments.
• Stay hands-on to contribute as an individual contributor.
• Manage day-to-day execution and project prioritization in a fast-paced setting.
• Guide architectural decisions emphasizing scalability, robustness, and reliability.
• Collaborate with training teams and manage important vendor relationships.
• Prepare the fleet for next-gen GPUs and larger clusters.

Skills

Team leadership

Mentoring

Multi-cloud

GPU hardware

Cluster management

Fault tolerance

Vendor management

Kubernetes-first

Distributed systems

Tools

Kubernetes

NCCL

Job description

Reflection is seeking a Compute Platform Lead to build and mentor a high-performing systems team responsible for a multi-cloud Kubernetes-based compute platform. You will guide architectural decisions, balance hands-on work with leadership, and work closely with training teams to ensure fault tolerance and scalable GPU deployments.

The role emphasizes growth, vendor management, and long-term fleet readiness.