Member of Technical Staff, Cloud Infrastructure

Job Description

Architect and build scalable backend infrastructure to support distributed training, inference, and data processing pipelines for a generative AI platform. Lead technical design for core services like job schedulers and autoscalers while ensuring system reliability and observability 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. Candidates must have deep expertise in distributed systems and proficiency in Python or C++.

Key Skills: Distributed Systems, Cloud Infrastructure, Machine Learning Platforms, Kubernetes, Python, C++, PyTorch, TensorFlow, Infrastructure As Code, CI/CD, Resource Management, System Observability, Multi-cloud Architecture, Backend Engineering, Scalability, Fault Tolerance