Data Infra Reliability Engineer — Scale & Automate Pipelines

An innovative AI firm in California is seeking a Data Reliability Engineer to ensure the resilience and scalability of their data infrastructure. The role involves automating data systems using Infrastructure-as-Code principles, enhancing data pipeline reliability, and operating high-throughput Kubernetes clusters. Ideal candidates should have strong SRE/DevOps skills, extensive experience with Terraform and Kubernetes, and proficiency in Python. This position is crucial for supporting Luma's cutting-edge AI research and operations. #J-18808-Ljbffr