Responsibilities
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.
Requirements
- 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.
Nice to Have
- AI mindset, AI application to Big Data relevant work tasks to boost efficiency
Skills Required
- Experience engaging in or driving Big Data projects (Apache projects such as Spark, YARN, Hadoop, Zookeeper, Kafka)
- Minimum of 6 years of experience in software development and architecture
- Strong expertise in Java and Python
- Experience with backend frameworks (e.g., Spring Boot) and building RESTful APIs
- Experience designing high availability, high performance systems and resource optimization
- Experience with databases (SQL and NoSQL) and messaging systems (Kafka, RabbitMQ)
- Experience with microservices architecture
- In-depth understanding of Linux and computer networks
- Experience in profiling, benchmarking and optimizing big data applications
- Bilingual in English and Mandarin
- AI mindset, applying AI to Big Data tasks
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com
