Senior AI GPU Infra Platform Architect

Accrescent Group; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Accrescent Group in San Francisco seeks an experienced AI / GPU Infrastructure Operations Architect to deploy, troubleshoot, and optimize enterprise AI infrastructure. The role focuses on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments.

The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex

Qualifications

• Production Kubernetes experience including architecture, networking, storage, RBAC, pod lifecycle and cluster upgrades.
• Strong Linux administration and troubleshooting across compute, OS, and storage layers.
• Experience with AI/GPU platform environments and monitoring/observability tooling.

Responsibilities

• Administer and support Linux and Kubernetes environments for AI/GPU workloads.
• Troubleshoot compute, OS, network, container, and platform issues; perform RCA.
• Support cluster deployment, upgrades, scaling, and maintenance activities.
• Automate health checks, monitoring, and remediation; enable CI/CD and IaC initiatives.
• Collaborate with cross-functional teams to maintain platform availability.

Skills

Linux administration

Kubernetes administration

Docker / container runtime

Networking (TCP/IP, DNS)

Shell / Bash scripting

Linux performance analysis

Incident management & RCA

Git / version control

Monitoring & troubleshooting

IaC tooling (Ansible / Terraform)

Tools

Prometheus

Grafana

Splunk

Datadog

Dynatrace

Ansible

Terraform

AWS

Azure

GCP

Job description

Accrescent Group in San Francisco seeks an experienced AI / GPU Infrastructure Operations Architect to deploy, troubleshoot, and optimize enterprise AI infrastructure. The role focuses on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments.

The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex