Software Architect Engineer (Big Data) - Data Infrastructure

at  Shopee

Department Engineering and Technology
LevelExperienced (Individual Contributor)
LocationSingapore
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don’t limit ourselves on what we can or can’t do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee’s hyper-growing business scale has transformed most “innocent” problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

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

Please refer the Job description for details