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Senior Backend Engineer (Big Data)

Binance -
Sydney NSW

Quick Apply

Job Details

Full-time

Benefits

Work from home

Qualifications

Bilingual
Spring Boot
Mandarin
RESTful API
Multilingual
Big data
NoSQL
Apache Hive
Databases
Microservices
SQL
HBase
RabbitMQ
Back-end development
REST
Software development
APIs
AI
Software architecture
High availability

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.

We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. We’re looking for top engineers to build them from the ground up. You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and features for the savviest customers in the business.

You will have a chance to work with the open source community and contribute significant portions its software to open source projects including Hadoop, Spark, Hive, Presto and HBase.

This role is 100% remote, work from home based.

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

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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