全栈工程师 Full-Stack Engineer

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 EdTech 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 workFlexible working hoursRemote work opportunities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).关于我们：关于我们：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:About Us: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：你将负责：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）

• 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:What You’ll Do: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).

• 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).