Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred8-10 years of related experience required; experience in the securities or financial services industry is a plus. Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system-level debugging. Proven experience running distributed systems in Kubernetes and containerized environments using Docker. Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle. Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible. Knowledge of networking fundamentals and persistent storage systems. Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments. Ability to read and support Python code focused on ML/AI pipeline integration. Strong analytical and troubleshooting skills with a collaborative mindset. Effective communication skills and proactive ownership of platform reliability and performance.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees