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Binance Accelerator Program - Backend Engineer (KYC team) at Binance
Makkah Al Mukarramah, Hong Kong, China -
Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Multithreading, Networking, Spring Microservice, MySQL, Redis, RabbitMQ, Kafka, Troubleshooting, Teamwork, Learning Ability, Open Source Projects

Industry

Financial Services

Description
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE Who may apply? Current university students and recent graduates \n Responsibilities Participate in the development and maintenance of Binance's KYC products Responsible for the compilation and implementation of the interface documentation of the business module Demonstrate strong troubleshooting skills to solve problems provided by QA team Assist the CS team to solve customer problems and classify them for system improvement Requirements Computer-related major, Bachelor or Masters degree Have a solid Java foundation and understand basic frameworks, such as multithreading and networking Familiar with Spring Microservice framework and understanding of its operation mechanism Familiar with MySQL database and common middleware such as Redis, RabbitMQ and Kafka Good logical thinking ability, strong sense of teamwork and strong learning ability Experience with open source projects is preferred \n
Responsibilities
Participate in the development and maintenance of Binance's KYC products. Assist the CS team to solve customer problems and classify them for system improvement.