Tech Stack

Description

You will build scalable data infrastructure, developer tools, and cloud platforms for systems-level performance tracking in autonomous driving. You'll design architectures, develop CLI tools and SDKs using Ray, manage AWS data pipelines with dbt and Iceberg, and mentor peers.

Requirements

• 5+ years of software engineering with focus on backend/data infrastructure
• Deep expertise in Python building scalable systems, SDKs, and CLI tools
• Experience with AWS, Redshift, Iceberg, Parquet, dbt, and Looker
• Hands-on experience with Ray for scaling Python workloads
• Experience with Docker/Kubernetes and CI/CD via GitLab

Responsibilities

• Author technical design documents for scalable infrastructure and tooling solutions
• Build CLI tools, web apps, and Python SDKs using Ray for systems metrics
• Architect and maintain AWS cloud infrastructure for high-throughput data processing
• Develop data pipelines with dbt, Apache Iceberg/Parquet, and Redshift
• Champion CI/CD with GitLab and containerization using Docker/Kubernetes