Job Description
- Design and develop computing architecture for real-time data processing and query services under the data architecture team
- Analyze and develop software solutions to optimize the performance and stability of real-time data systems and platform services, applying principles and techniques of computer science, engineering, and mathematical analysis
- Update software, enhance existing software capabilities, and participate in the customization and improvement of Flink, maintaining collaboration with the open-source community
- Strive for excellence, building industry-leading real-time computing ecosystems and platform products
Requirements
- Bachelor’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Engineering, or other related fields
- Minimum 5 years of work experience in software engineering field
- Proficiency in Java/Scala programming, with extensive hands-on experience in multithreading and high concurrency
- Familiarity with the principles of parallel or distributed computing, and understanding the characteristics and technical solutions of systems with high concurrency, high stability, linear scalability, and massive data
- Strong ability to analyze business requirements and pinpoint problems
- Experience in real-time computing development with Storm/SparkStreaming/Flink is preferred, especially those who have contributed patches to the community
- Familiarity with Hadoop EcoSystem/Kafka/Clickhouse technologies is a plus
