Design, develop, and maintain backend services and APIs for global products using Java.
Build a high-performance, highly available, and secure backend system to provide robust support for Big Data business operations.
Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation, and refinement.
Develop and maintain tools, re-designing capacity planning infrastructure for greater scalability.
Troubleshooting, diagnosing, fixing software issues, and ensuring data security, and end-to-end system architecture.

Must: Engaged or drove Bigdata relevant projects currently/previously, such as: Apache open source project (e.g., Spark, YARN, Hadoop, Zookeeper, Kafka)
Minimum of 6 years of experience in software development and architecture.
Strong expertise in Java/Python and backend frameworks (e.g., Spring Boot, RESTful APIs)
Experience in high availability, high performance, and resource optimization.
Experience with databases (SQL/NoSQL), messaging systems (e.g., Kafka, RabbitMQ), and microservices architecture
In-depth understanding of Linux and computer networks.
Experience in profiling, benchmarking and optimizing big data applications
Bilingual English and Mandarin is required to be able to coordinate with overseas partners and stakeholders.

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Senior Software Engineer – Big Data Infrastructure, OLAP Engine

Key skills