AI Data Infrastructure Engineer
MiniMax Group Inc.Visit MiniMax Group Inc. website
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
Shanghai, China
Funding history
About MiniMax Group Inc.
MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate large-model data-processing infrastructure using Spark and Ray. You will develop data lakes and catalog services, and improve monitoring, logging, tracing, alerting, resource utilization, and costs across production data workflows.
Requirements
- Proficiency in at least one of Python, Java, or Scala
- Knowledge of Linux, containers, and distributed systems
- Experience with large-scale data processing or cloud-native platforms
- Ability to develop, deploy, debug, and maintain long-running production tasks
- Ability to analyze performance, stability, and capacity issues using metrics, logs, traces, and runtime evidence
- Experience in at least one of Spark or Ray platform development, task scheduling, performance analysis, data-lake engines, or large-scale data organization and metadata services
- Experience using AI to improve delivery efficiency
Responsibilities
- Build large-model data-processing infrastructure using Spark and Ray
- Manage clusters, schedule tasks, isolate resources, and analyze performance
- Develop data lakes and catalog services using Paimon, Iceberg, and Lance
- Build monitoring, logging, tracing, and alerting for compute and data-lake workflows
- Investigate performance, stability, and capacity issues with Kubernetes and SRE
- Optimize resource utilization and costs
