Remote Senior AI/HPC Storage Engineer

Summary

Join our innovative team as a Senior AI/HPC Storage Engineer and design, implement, and manage advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will be instrumental in ensuring the performance, scalability, and reliability of our storage systems.

Requirements

• A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations
• In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols
• Experience with RDMA-capable high-speed networking
• Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments
• Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles
• Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others
• Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker

Responsibilities

• Design, implement, test, maintain, and optimize our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments
• Drive innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission
• Automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments
• Perform performance analysis, benchmarking, troubleshooting, and fine-tuning of our data storage systems and services, while efficiently managing user tickets
• Research, deploy, and optimize accessibility, performance, security, and data lifecycle management policies
• Regularly assess our storage platforms' health and operational performance against established metrics, with a focus on meeting and exceeding operational service level objectives

Benefits

Comprehensive benefits package for United States based candidates, including bonuses and equity compensation