Qualifications

• Bachelor's degree in computer science or related field; advanced degree preferred.
• 8-10 years of relevant experience; financial services background a plus.
• Proficiency in Linux systems administration (RHEL/Ubuntu).
• Experience managing distributed systems using Kubernetes and Docker.
• Familiarity with NVIDIA GPU management and device lifecycle operations.
• Knowledge of CI/CD workflows and tools like GitLab CI or Jenkins.
• Exposure to cloud platforms (AWS, GCP, Azure) and hybrid environments.

Responsibilities

• Support enterprise-grade NVIDIA AI infrastructure, focusing on GPU compute and high-performance storage.
• Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes and Docker.
• Ensure observability of AI platforms, identifying performance bottlenecks and recommending improvements.
• Automate infrastructure operations using Python, Bash, Terraform, or Ansible.
• Scale AI training and inference pipelines, integrating workflows into CI/CD systems.
• Maintain health and performance of AI systems, proactively addressing reliability.

Benefits

• Medical, dental, and vision insurance options.
• 401(k) plan with company match.
• Generous paid time off policy including holidays and sick leave.
• Access to professional development and training opportunities.
• Flexible work environment, potentially with remote options.