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Java/ Data Backend Engineer (Flink, Spark) - Trading Insights
Binance —Melbourne VIC
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
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Java/ Data Backend Engineer (Flink, Spark) - Trading Insights

Binance -
Melbourne VIC

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Job Details

Full-time

Qualifications

Spring Boot
CI/CD
Computer Science
Big data
Engineering
Apache Hive
Master's degree
Microservices
AWS
Bachelor's degree
HBase
Back-end development
AI
Jenkins
GitLab
Communication skills

Full Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

Design and develop microservices architecture using Java Spring Boot, ensuring system performance, scalability, and reliability.
Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud.
Analyze, process, and explore data using big data technologies.
Optimize and manage data storage and retrieval systems like ES/HBase/Starrocks, ensuring efficient data handling.
Work closely with business stakeholders to understand requirements and deliver data solutions that align with business goals.
Monitor, troubleshoot, and improve backend services to ensure smooth operation.
Participate in the full development lifecycle, including requirements gathering, system design, coding, testing, and deployment.
Maintain and enhance existing backend services, ensuring code quality and performance.
Collaborate with cross-functional teams to integrate data solutions into existing applications.

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in Java development, with a minimum of 3 years focused on Spring Boot microservices.
Expertise in designing and implementing Java Spring-based microservices architecture, with experience in Spring Cloud.
Hands-on experience with data development and big data technologies, including Hive, Spark and Flink.
Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
Proficient in optimizing and managing large-scale databases and data processing workflows.
Strong problem-solving skills, with a proven ability to troubleshoot and optimize backend services.
Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.
Experience with CI/CD pipelines, such as Jenkins or GitLab CI, is a plus.
Knowledge of cloud services like AWS or is a plus.
Strong knowledge of financial or blockchain business models and processes, is a plus.

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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