Act as the on-site technical focal point during deployments, upgrades, and critical incidents.
Lead technical meetings and operational reviews with customer and DDN stakeholders.
Drive continuous improvement through feedback loops with Product, Support, and Engineering teams.
Ensure alignment between deployed configurations and customer strategic roadmaps for HPC, AI, and ML workloads.
Required Skills and Experience
8+ years of hands-on technical experience in systems engineering, deployment, or operations.
Strong Linux administration background.
Proven experience deploying and managing large-scale HPC, AI, or ML infrastructure.
Deep knowledge of parallel file systems (Exascaler, Lustre, or GPFS).
Experience configuring and troubleshooting InfiniBand and high-performance Ethernet networks.
Proficiency with DevOps tools and scripting (Python, Bash, Ansible, etc.) for automation and monitoring.
Familiarity with containers, orchestration (Kubernetes, Slurm), and hybrid/cloud environments.
Experience developing and maintaining technical documentation and operational runbooks.
Strong communication skills with the ability to interface directly with customer, engineering and executive teams.
Comfortable working independently in globally distributed environments.
Willingness to travel as required (up to 25%).
Ability to lift up to 75 pounds when supporting hardware installations.
Preferred Qualifications
Experience with AI/ML workflows, GPU-accelerated computing, or large-scale data pipelines.
Familiarity with observability stacks (Prometheus, Grafana, ELK).
Understanding of CI/CD and infrastructure-as-code methodologies.
Project management or DevOps certification (e.g., PMP, CKA, AWS Solutions Architect) is a plus.
