高级/资深全栈工程师（B2C反作弊POC）
Senior/ Principal Full-Stack Engineer (B2C Anti-Cheat POC)
Senior/Principal Full-Stack Engineer (B2C Anti-Cheat POC)
Node.js / React
远程 | 全职
关于职位
我们正在构建一个面向B2C的反作弊产品界面，向终端用户展示完整性信号、信任评分和可疑行为指标。
该职位专注于执行——构建第一个生产级别的POC，将反作弊输出转化为真实的、面向用户的的产品体验。
你将与数据/反作弊团队紧密合作，并将检测结果集成到可扩展的后端服务和直观的前端仪表板中。
这是一个需要亲力亲为的职位，对产品交付有直接的影响。
你将负责
1️⃣ 构建反作弊应用层（POC优先）
开发后端服务（Node.js）以从数据系统中获取完整性信号
设计提供信任评分、风险指标和评估结果的API
构建针对B2C人工评估的实时和批量处理流程
确保可靠性和清晰的数据边界
2️⃣ 交付B2C产品界面（React）
玩家完整性仪表板
信任评分可视化
“为什么这个评分？”解释UI
可疑信号指示器
评估结果页面
重点：清晰度、透明度和产品可用性。
3️⃣ 与数据/反作弊系统集成
与数据工程师和ML团队合作
将模型输出集成到服务层
处理数据摄入、验证和去重
维护版本控制和日志记录
4️⃣ 为核心集成做准备
构建可以后续集成到QuintAce核心的架构
确保模块化、可扩展的服务边界
支持未来多平台扩展
我们寻找的人
要求
5年以上全栈工程经验
强大的Node.js后端开发能力
强大的React/前端架构能力
在数据密集型系统中工作的经验
构建API和仪表板的经验
在模糊的0→1环境中工作的舒适度
强烈的主人翁意识
优先考虑
在信任与安全、欺诈或风险产品方面的经验
游戏或金融科技背景
在ML驱动系统中工作的经验
为什么这个职位很重要
这是使反作弊对玩家透明的第一个产品版本。
你不是在构建检测模型——
你是在构建使完整性可见、可理解且可操作的产品层。
POC → 核心产品 → 平台集成。
最初发布于Himalayas
查看英文原文
Senior/ Principal Full-Stack Engineer (B2C Anti-Cheat POC)
Node.js / React
Remote | Full-Time
About the Role
We are building a B2C Anti-Cheat product surface that exposes integrity signals, trust scores, and suspicious behavior indicators to end users.
This role is focused on execution — building the first production-grade POC that turns anti-cheat outputs into real, user-facing product experiences.
You will work closely with the Data / Anti-cheat team and integrate detection outputs into scalable backend services and intuitive frontend dashboards.
This is a hands-on role with direct impact on product delivery.
What You’ll Do
1️⃣ Build the Anti-Cheat Application Layer (POC First)
Develop backend services (Node.js) to consume integrity signals from data systems
Design APIs that serve trust score, risk indicators, and evaluation results
Build real-time and batch processing flows for B2C hand evaluation
Ensure reliability and clean data boundaries
2️⃣ Deliver B2C Product Surfaces (React)
Player integrity dashboard
Trust score visualization
“Why this score?” explanation UI
Suspicious signal indicators
Evaluation result page
Focus: clarity, transparency, and product usability.
3️⃣ Integrate with Data / Anti-Cheat Systems
Work with data engineers & ML teams
Integrate model outputs into serving layer
Handle ingestion, validation, deduplication
Maintain version control and logging
4️⃣ Prepare for Core Integration
Build architecture that can later integrate into QuintAce core
Ensure modular, scalable service boundaries
Support future multi-platform extension
What We’re Looking For
Required
5+ years full-stack engineering experience
Strong Node.js backend development
Strong React / frontend architecture
Experience working with data-heavy systems
Experience building APIs and dashboards
Comfortable working in ambiguous 0→1 environments
Strong ownership mindset
Preferred
Trust & safety / fraud / risk product exposure experience
Gaming or fintech background
Experience working with ML-driven systems
Why This Role Matters
This is the first version of a product that makes anti-cheat transparent to players.
You’re not building detection models —
you’re building the product layer that makes integrity visible, understandable, and actionable.
POC → Core Product → Platform Integration.
Originally posted on Himalayas