Tech Stack

Description

You will scale infrastructure for cloud, hybrid, and on-prem deployments, manage the full data lifecycle from ingestion to querying, and build high-quality software using open-source technologies. You'll collaborate with all business units to design products that support massive data volumes for physical AI applications.

Requirements

• Bachelor's degree in CS, Software Engineering, or equivalent
• 3+ years professional experience
• Experience with large-scale open-source data technologies (Spark, Kafka, Hudi, Flyte)
• Experience with containerization and modern software development workflows
• Knowledge of open-source landscape and build vs. buy decisions

Responsibilities

• Scale infrastructure for cloud, hybrid, and on-prem deployments across regions
• Manage end-to-end data lifecycle from external product to underlying platform
• Build features to tune processing pipelines for fast data ingestion and indexing
• Enable product workflows with performant query interfaces and integration hooks
• Develop and deploy high-quality software using modern tooling and open-source technologies