Job Description:
- Participate in the design, development, and maintenance of core products within the big data ecosystem, including:RAM, DataMap, DataStudio, Scheduler System, Data Dashboard, etc.
- Write high-quality, efficient, scalable, and maintainable backend code.
- Collaborate closely with product managers, engineers, and QA to deliver robust, production-ready features.
- Continuously improve system performance, reliability, and developer experience.
- Take part in system architecture design and product roadmap discussions, contribute to the long-term technical evolution and big picture of our products.
Requirements:
- Pursuing a bachelor's degree or above in Computer Science, Software Engineering, or related fields.
- Solid understanding of computer science fundamentals, including: data structures & algorithms, operating systems, networking, distributed systems.
- Proficient in at least one backend programming language: Java, Python, or Go.
- Familiar with relational databases (e.g., MySQL) and middleware technologies (e.g., Redis, Kafka).
- Understanding of HTTP protocol, RESTful API design, and microservice architecture.
Preferred Qualifications:
- Internship or project experience related to: backend system development, big data infrastructure.
- Familiarity with big data technologies, such as: Hadoop, Spark, Flink, Presto, StarRocks etc.
- Strong debugging and problem-solving skills in large-scale systems.
- Proficiency in Java, and hands-on experience with: Spring Boot, Spring Cloud, MySQL, Redis, Kafka.
- Contributions to open-source projects or technical blogs.
