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Salary
$33k – $64k per year (Estimated)
Location
Remote (China)
Employment
Full-Time
Overview
Company
Impact
Profile match
Gate is one of the longest-running digital asset exchanges, first launched in 2013 and now operating from Singapore. It provides spot, margin and derivatives markets, a startup launchpad and a wide selection of long-tail token listings. The company publishes regular proof-of-reserve attestations and has been building out regionally licensed entities in Europe and the Middle East.

公司简介

我们是全球最早也是最成熟的数字资产平台之一,服务于全球数千万用户。我们始终位列全球Top交易所之列,提供涵盖数千种数字资产的全面交易和财富管理产品。我们拥有遍布全球主要金融中心的数千名员工,秉持远程优先、高度自主的企业文化,吸引着那些在快节奏、高挑战性环境中蓬勃发展的优秀人才。

岗位职责

一、行情与实时数据系统

1.负责 Web3 行情系统的后端架构设计与开发,覆盖链上行情、DEX 池子数据、订单簿、成交流、K 线等多类实时数据的采集、清洗、聚合、存储与分发。

2.构建低延迟、高吞吐、可水平扩展的实时计算链路,保障行情数据在高并发场景下的稳定性、一致性与时效性。

3.设计并实现实时数据推送服务(WebSocket / gRPC Streaming 等),支撑前端、策略、交易等下游业务对实时行情的消费需求。

二、链上数据中台建设

1.负责链上数据中台的整体设计与落地,构建从节点接入、区块解析、事件解码到结构化存储的完整数据链路。

2.负责区块、交易、事件日志的解析与解码(Log Decode、Trace 解析、内部交易还原等),将原始链上数据转化为业务可消费的结构化数据。

3.抽象多链数据模型,沉淀通用的解析框架与数据资产,支撑行情、交易、钱包、预测市场等上层业务。

4.构建实时数据监控与报警机制,覆盖节点健康度、数据延迟、数据完整性、解析异常等关键指标。

任职要求

一、技术基础

1.5 年以上后端开发经验,语言 Java 或 Go 均可,熟悉 Java 者更佳

Java 方向:3 年以上 Java 实战经验,熟悉 JVM 调优、并发编程,掌握 Spring 生态。

Go 方向:3 年以上 Golang 实战经验,精通并发模型(Goroutine / Channel)、标准库及主流框架(Gin / Go-zero / Gorm)。

2.熟练掌握微服务架构与分布式系统设计(消息队列、分布式锁、熔断限流、幂等设计等)。

3.精通 SQL / NoSQL 数据库优化,熟悉 Redis 缓存设计及 Kafka 异步处理。

4.具备实时计算系统的落地经验,熟悉状态管理、背压、容错、Exactly-Once 等机制; 使用过 Akka 或 Pekko、Reactor(或 Project Reactor / RxJava)、Redis Stream。

5.至少 3 年 Web3 开发经验,理解区块链基本原理(共识、P2P、Gas / 手续费模型等),熟悉交易流程与合约交互机制。

6.熟悉主流公链交互机制,要求熟悉 EVM 与 Solana; 熟悉 Move / Sui 者优先。

7.具备链上数据中台、行情系统或类似数据平台的项目经验,熟悉 Log Decode、ABI 解析、Trace / Internal Tx 处理等,主导过多链数据模型抽象或通用解析框架的建设。

8.主导过中大型后端系统或数据平台从 0 到 1 的架构设计与落地。

具备较强的学习能力,能快速跟进新技术、新公链、新协议,并判断其在业务中的实际价值与落地路径。

二、AI 工程能力

1.日常使用 AI Coding Agent 开发,并有相应工程沉淀。

2.具备搭建 Agent Harness、编写 Skills / Prompts 的实践经验。

3.了解 MCP、Tool Use、RAG、Eval 等概念及其工程落地边界。

加分项

1.有大数据实时与离线计算经验(Flink、Spark、Storm 等),熟悉 Lambda / Kappa 架构。

2.有 DEX(Uniswap V2 / V3、Curve、Raydium、Orca 等)池子状态维护、价格计算、聚合行情相关经验。

3.有 MEV、Mempool 监听、抢跑保护等相关经验。

4.有时序数据库(如 TimescaleDB、Druid、ClickHouse)在行情场景下的落地经验。

5.有围绕 AI Coding 的内部工具、Skill 库、Agent 工作流等沉淀经验。

6.有开源社区贡献或技术博客输出。

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