Member of Technical Staff, Cloud Infrastructure

Job Description

Architect and build scalable backend infrastructure to support distributed AI training, inference, and data processing pipelines. Design core services like job schedulers and resource managers while optimizing for low latency and cost-efficiency across multi-cloud environments.

Requirements: Requires a Bachelor's degree in Computer Science or a related field with over 5 years of experience in cloud backend infrastructure and ML tooling. Deep expertise in distributed systems fundamentals and proficiency in Python or C++ is essential.

Key Skills: Distributed Systems, Cloud-Native Infrastructure, Machine Learning Platforms, Kubernetes, Python, C++, PyTorch, TensorFlow, Resource Management, Autoscaling, Infrastructure as Code, CI/CD, Terraform, ArgoCD, GitOps, Observability

Benefits: Equity, Competitive Salary, Comprehensive Benefits Package