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.

• 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)

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.