Design and build high-performance Java microservices and data pipelines to parse, transform, and analyze multi-chain on-chain data in real time. Integrate with Kafka, Redis, RDS, and data lake systems; optimize low-latency computation for token prices, swaps, liquidity metrics; ensure fault tolerance, observability, and alignment with long-term data platform strategy.
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 looking for a Senior Java Engineer (Web3 Data) to design and build the next-generation on-chain data processing and computation pipeline. You will play a key role in architecting high-performance, scalable, and reliable backend systems that parse, transform, and analyze blockchain data across multiple chains in real time.
This role requires a strong background in Java microservices, distributed systems, and data-intensive computation, with a solid understand for Web3 ecosystems and on-chain data analytics. You will work closely with blockchain researchers, data engineers, and backend teams to deliver low-latency APIs and large-scale data insights powering our DeFi and on-chain analytics products.
Responsibilities
- Design and implement high-performance pipelines for on-chain data parsing, calculation, and aggregation across multiple blockchain networks (EVM, Solana, etc.).
- Architect and optimize Java-based distributed microservices for real-time and batch data processing.
- Build data computation layers that support ultra-fast statistical calculations, such as token prices, swaps, liquidity metrics, and protocol-level KPIs.
- Collaborate with data engineering teams to integrate pipelines with Kafka, Redis, RDS, and data lake environments.
- Design and manage scalable data models supporting multi-chain and historical data.
- Develop fault-tolerant, monitored, and auto-recoverable backend systems with zero downtime.
- Establish strong observability and performance monitoring for parsing and computation modules.
- Contribute to system-level architecture discussions and ensure alignment with long-term data platform strategy.
Requirements
- 8+ years of experience in backend development with Java, including Spring Boot / Spring Cloud.
- Solid understanding of blockchain fundamentals —transactions, events, state changes, and node RPC interaction.
- Strong experience with distributed systems, streaming data, and real-time computation frameworks.
- Deep familiarity with commonly used middleware such as Kafka, Redis, MySQL,MongoDB,xxl-job and caching strategies for high-throughput workloads.
- Strong knowledge of microservice performance tuning and low-latency design (threading, async, batching).
- Excellent communication, documentation, and collaboration skills.
- Experience in Reactor would be an added value.
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.
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