Member of Technical Staff Cloud Infrastructure

You will architect and build backend infrastructure for distributed training, inference, and data processing. You will design core services, lead technical discussions, optimize compute, storage, and networking, improve reliability and observability, and deploy systems that support large-scale machine learning workloads.

Responsibilities

• Architect and build backend infrastructure for distributed training, inference, and data processing
• Lead technical design discussions and mentor engineers
• Design backend services including job schedulers, resource managers, autoscalers, and model serving layers
• Optimize compute costs, storage lifecycles, and network performance
• Integrate cloud-native and open-source infrastructure technologies
• Own systems from design through deployment and observability
• Ensure availability, fault tolerance, disaster recovery, scalability, and performance
• Develop monitoring, alerting, logging, and tracing solutions

Requirements

• 5+ years of backend infrastructure experience in cloud environments
• Experience with ML infrastructure and tooling
• Strong Python or C++ development skills
• Knowledge of distributed systems scheduling, orchestration, storage, networking, and compute optimization
• Experience with AWS, GCP, or Azure
• Experience with PyTorch, TensorFlow, Vertex AI, SageMaker, or Kubernetes

Benefits

• Equity