Infrastructure Engineer

• Develop and operate our low-latency model inference platform, ensuring high availability, scaling, and efficient resource utilization for Odyssey’s products.
• Engineer and scale our core data processing infrastructure (e.g., Flyte, Ray with k8s) to handle petabyte-scale datasets.
• Design, build, and maintain our large-scale, GPU-based training clusters for deep learning, focusing on high throughput and reliability.
• Automate infrastructure provisioning, configuration, monitoring, and alerting using Infrastructure as Code (IaC) principles.
• Drive performance tuning, cost optimization, and reliability improvements across the entire stack.
• Collaborate closely with researchers and product developers to understand their requirements, optimize their workflows, and improve platform usability.

Technical Staff Member, Infrastructure Engineer

Senior Manager, Cloud Infrastructure Engineer, Scientific Computing and HPC

Senior Manager, Cloud Infrastructure Engineer, Scientific Computing, HPC

Infrastructure Engineer – Hybrid Cloud, Platform

Senior Infrastructure Engineer – Unannounced Project