大数据平台后台开发工程师/技术专家(深圳/北京）
Core
Design and implement a massive-scale big data platform handling millions of CPU scheduling tasks and PB-level storage, ensuring stability and performance under high concurrency and throughput.
Role type
Senior IC backend engineer (big data platform)
Builds
Compute engines, task scheduling systems, and data ingestion components for large-scale data platforms
Domain
Big Data Infrastructure / Distributed Systems
Required skills
Java, Python or Go, Spring Boot, Redis, Message Queues, JVM tuning, Distributed Systems, High Concurrency, Hadoop, Spark, Flink
Preferred skills
Dataworks, Databricks architecture knowledge, Open source contributions, Vibe Coding
Responsibilities
Design and implement core backend components for massive-scale data platforms; Participate in full R&D lifecycle from requirement review to testing; Collaborate with product and ops teams to drive platform delivery; Optimize system architecture and build reusable public service components.
