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全栈工程师 Full-Stack Engineer
Job description
关于我们: 我们正在构建一个创新的国际教育招聘平台,旨在通过自动化聚合全球国际学校职位信息,并为教师提供安全可控的简历共享系统,解决跨国求职中的沟通低效问题。项目灵感源自Glassdoor的透明化模式与贝壳找房的“联盟式”生态,未来计划拓展为教育行业的垂直人才基础设施。现需技术伙伴加入,共同推动平台从MVP到规模化发展的技术落地。 About Us: We are developing a cutting-edge international education recruitment platform to simplify global job searches. By automating job postings aggregation and offering teachers a privacy-centric resume-sharing system, we aim to eliminate inefficiencies in cross-border recruitment.
Inspired by Glassdoor’s transparency and KE Holdings’ collaborative ecosystem, our vision is to become the go-to talent infrastructure for the education sector. Join us to shape this technical journey from prototype to scalable product. 你将负责: 独立开发并维护平台核心功能模块(如职位聚合、用户注册/认证、简历管理、招聘方门户) 设计并实现前后端一体化架构(含爬虫系统、API接口、数据库优化) 保障代码质量,编写可扩展、易维护的代码,并主导部分CI/CD流程 善于协作,按敏捷开发节奏交付功能迭代 每周投入约20小时,持续参与项目至少2个月(可根据进度延长合作) What You’ll Do: Develop and own end-to-end features (e.
g., job scraping pipeline, user onboarding flow, resume privacy controls, recruiter dashboard). Architect full-stack solutions, including crawler systems, RESTful APIs, and database schema design. Ensure code quality through testing, documentation, and adherence to best practices. Collaborate with cross-functional teams in biweekly sprints, prioritizing rapid MVP delivery.
Commit ~20 hours/week for a minimum of 2 months (flexible extension based on mutual fit).
Requirements
我们期待你: 技术能力: 精通全栈开发(React/Next.js前端 + Node.js/Django后端) 熟练Python爬虫开发(Scrapy/Playwright/Selenium),具备反爬策略应对经验 熟悉MongoDB/PostgreSQL数据库设计与优化 有独立部署经验(Vercel/AWS/Railway等云平台) 软性能力: 英语流利,能无障碍阅读英文技术文档及沟通需求 具备“创业者思维”,能主动优化技术方案并平衡开发成本与用户价值 适应远程协作,擅长时间管理与多任务并行推进 Requirements: Technical Skills: Full-stack proficiency (React/Next.js + Node.
js/Django or equivalent stack). Python web crawler expertise (Scrapy/Playwright/Selenium, including anti-scraping countermeasures). Database management (MongoDB/PostgreSQL with performance tuning experience). Hands-on CI/CD pipeline deployment (Vercel/AWS/Railway or similar). Soft Skills: Fluent English for cross-border team collaboration and requirement analysis.
“Startup-ready” mindset: proactive in optimizing tech choices for MVP constraints. Self-directed with strong time management for remote, part-time engagement. 加分项: 有教育科技或招聘平台开发经验 接触过AI推荐系统或NLP文本处理(如职位与简历匹配) 独立交付展示(如网页/小程序/App/技术博客/GitHub有全栈项目) 熟悉Docker/Kubernetes微服务架构 Bonus Points: Prior work in Ed. Tech or recruitment-related SaaS products.
Experience with AI-driven matching systems (e.g., resume-job relevance algorithms). Side project history demonstrating part-time commitment to scalable products. Familiarity with containerization (Docker/Kubernetes) for modular deployments.
Benefits
薪资福利 : 按小时/项目计费 灵活工作时间 远程工作机会 Compensation and Benefits : Competitive hourly rate based on project work Flexible working hours Remote work opportunities
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