HPC Storage Engineer

Job Description

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments. Our Storage Engineers are a valued member of the Managed Services Infrastructure Practice responsible for Tier 3 incident management, service request management and change management infrastructure support for all Managed Services customers. Key Responsibilities Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities Plan and perform maintenance activities Assess customer environments for performance and design issues and propose resolutions Work across technical teams to troubleshoot complex infrastructure issues Create and maintain detailed documentation Serve as a subject matter expert and escalation point for storage technologies Work with vendors to resolve storage issues Communicate with customers and internal team with transparency Participate in on-call rotation Completion of training and certification as assigned to further skills and knowledge Skills Required Bachelors degree or equivalent Information Systems or related field. Unique education, specialized experience, skills, knowledge, training, or certification may be substituted for education 5+ years of expert level experience managing storage infrastructure in high-performance computing environments including, file systems, storage appliances, and data workflows. Experience configuring, maintaining, and tuning Ceph clusters. Experience configuring, maintaining, and tuning distributed file systems (e.g., Lustre, GPFS, NFS, GlusterFS) Experience with InfiniBand networking preferred. 1+ years working with monitoring platforms; Elastic Observability is a bonus 1+ years working with an enterprise ITSM system: Service Now is a bonus Familiarity with high-performance computing (HPC) schedulers (e.g., SLURM, PBS, Torque) and their interaction with data storage systems. Understanding of data protection mechanisms, including data replication, backup strategies, and disaster recovery in HPC environments. Experience with containerization (Docker, Singularity) in an HPC context for data processing and application deployment. Solid working knowledge or Linux and scripting a plus. Experience with machine learning or data science workflows in HPC environments a plus. Managed Services or consulting experience is required. Strong background with customer service High level problem-solving and communication skills Strong oral and written communications skills Related Storage certifications are a bonus.