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# Systems Engineer / Site Reliability Engineer (SRE)

- **Company:** SS Business Services LLC
- **Location:** San Jose, CA, United States
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Cloud Computing, Nvidia CUDA, Linux, Distributed Systems, InfiniBand, Python (Programming Language), Performance Tuning, Reliability Engineering, System Availability, Kubernetes, Hardware Infrastructure, Model Inference
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_684bfd49b2434bd42878c651b9cb2116

## About the Role

* Experience in hyperscale environments, distributed systems, or GPU cloud infrastructure.
 * NVIDIA GPU drivers, CUDA, Fabric Managers, NCCL.
 * Kubernetes cluster management at scale.
 * Programming: Python or Go.
 * GPU networking: RoCEv2, InfiniBand.
 * SLIs/SLOs, telemetry, automated self-healing, root-cause analysis.

## Description

Seeking a Systems Engineer / SRE to design, automate, and maintain large-scale AI inference infrastructure. The role focuses on GPU cluster reliability, bare-metal provisioning, Kubernetes orchestration, Linux performance optimization, and infrastructure automation. Responsible for ensuring high availability, scalability, and performance across distributed accelerator environments., * Design and maintain scalable GPU infrastructure for AI inference workloads.

 * Automate bare-metal provisioning and server lifecycle management.
 * Manage Kubernetes clusters and optimize Linux/GPU performance.
 * Troubleshoot GPU, network, and distributed system bottlenecks.
 * Implement monitoring, telemetry, and automated recovery solutions.
 * Conduct root-cause analysis and improve infrastructure reliability.