
High-Performance Linux Engineer
1 week ago
We are seeking an experienced Senior Linux Systems Engineer to join our team, focusing on the implementation and management of on-premises Linux servers optimized for AI/ML workloads.
The ideal candidate will have deep expertise in core Linux system administration, with a strong foundation in configuring and optimizing servers for high-performance computing tasks. Responsibilities include deploying and maintaining robust Linux environments, automating system processes, and ensuring security and stability for AI/ML pipelines.
Main Responsibilities:- Support Deployment and Maintenance of NVIDIA GPU-Accelerated Systems
- Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE).
- Perform Day-to-Day System Administration Across Compute, Storage, and Networking Layers
- Automate Infrastructure Tasks Using Shell Scripts, Ansible, or Similar Tools
- Collaborate with DevOps, Data Science, and Engineering Teams to Ensure Scalable, Resilient Infrastructure for AI/ML Workloads
- Monitor Infrastructure Health and Performance; Participate in Troubleshooting and Root Cause Analysis
- Extensive Experience in Managing, Configuring, and Troubleshooting Linux-Based Systems (e.g., RHEL, Ubuntu, CentOS, Debian) in Enterprise Environments
- Hands-On Experience in Deploying and Configuring Linux Servers for AI/ML Applications
- Expertise in Tuning Linux Systems for Performance, Including CPU/GPU Resource Allocation, Memory Management, and I/O Optimization
- Proven Ability to Diagnose and Resolve Intricate Problems in Linux Environments
- Expertise in Tuning Linux Systems for Performance, Including CPU/GPU Resource Allocation, Memory Management, and I/O Optimization
- Hands-On Experience in Deploying and Configuring Linux Servers for AI/ML Applications
- Extensive Experience in Managing, Configuring, and Troubleshooting Linux-Based Systems (e.g., RHEL, Ubuntu, CentOS, Debian) in Enterprise Environments
- Monitor Infrastructure Health and Performance; Participate in Troubleshooting and Root Cause Analysis
- Collaborate with DevOps, Data Science, and Engineering Teams to Ensure Scalable, Resilient Infrastructure for AI/ML Workloads
- Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE).
Requirements:
- Minimum 7 years of experience in systems engineering or enterprise infrastructure roles.
- Understanding of enterprise storage, networking, and system monitoring tools.
- Scripting and automation experience (e.g., Bash, Python, Ansible).
- Strong communication, documentation, and troubleshooting skills.
- Comfortable working independently in a remote environment.
Benefits:
This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development.
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