Senior Platform Engineer - GPU-Driven Multi-Cloud Infra

Harrison Clarke; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Harrison Clarke is seeking a Senior Platform Engineer to take ownership of their core platform in San Francisco. This position involves designing multi-region Kubernetes clusters, managing GPU infrastructure, overseeing networking systems, and developing observability across metrics and logs. The ideal candidate will have solid experience with Kubernetes in production, infrastructure-as-code tools like Terraform, and must be proficient with GitOps practices. Strong networking fundamentals and familiarity with in-memory data systems are also essential. If you have a passion for building AI systems, apply now!

Qualifications

• Strong experience operating Kubernetes in production environments, including troubleshooting, autoscaling, and upgrades.
• Proven background with infrastructure-as-code tools.
• Hands-on experience running GPU workloads on Kubernetes.

Responsibilities

• Design and manage multi-region Kubernetes clusters across cloud and GPU-focused providers.
• Own the deployment lifecycle through GitOps practices.
• Manage GPU infrastructure, including scheduling efficiency and workload placement.

Skills

Kubernetes

Infrastructure-as-code tools

GPU workloads optimization

GitOps tooling

In-memory data systems

Observability tooling

Networking fundamentals

Tools

Terraform

Helm

Pulumi

Redis

Job description

Harrison Clarke is seeking a Senior Platform Engineer to take ownership of their core platform in San Francisco. This position involves designing multi-region Kubernetes clusters, managing GPU infrastructure, overseeing networking systems, and developing observability across metrics and logs. The ideal candidate will have solid experience with Kubernetes in production, infrastructure-as-code tools like Terraform, and must be proficient with GitOps practices. Strong networking fundamentals and familiarity with in-memory data systems are also essential. If you have a passion for building AI systems, apply now!