后端软件工程师
Backend Software Engineer
- 你将运用你的技能解决现实问题，同时了解食品、消费品和个性化营养生态系统
- 你将使用 JavaScript/TypeScript、Node.js、MongoDB、GraphQL、AWS 等工具和语言，在 Pinto Services 堆栈中工作
- 你将与我们的研究、营养和数据分析师团队合作，深入了解食品数据和营养中的底层用例
- 你将设想并创建我们核心数据平台的新功能，该平台处理来自多种来源的大型复杂数据集
- 你将设想并创建有助于和增强我们端到端数据管道的工具
- 你将建模、设计并实现与行业合作伙伴的复杂数据集成
- 具备以下经验：Node.JS、JavaScript/TypeScript、使用 NoSQL 数据库、从头开始构建数据流程
- 3 年以上专业软件开发经验
- 计算机科学（或类似）学士学位或同等实践经验
- 有从头到尾交付高质量软件的记录
- 扎实的计算机科学基础，具备良好的数据结构、算法和系统设计知识
- 能够适应快节奏的初创环境
- 自我意识强，有学习和提升的意愿
加分项
- 你参与过的代码项目示例（如 GitHub、BitBucket）
- 具备以下经验：GraphQL、亚马逊网络服务（AWS）、MongoDB、构建高性能分布式系统
- 具有处理来自多种来源的大型复杂数据集的经验
- 优秀的沟通能力
所有信息将根据 EEO 指南保密。
Pinto（pinto.co）正在打造食品、零售和快消品领域最智能的产品数据库和分析平台。我们的使命是让产品世界实现优化、可搜索和个性化，以满足当今消费者的需求（66% 的消费者现在会根据个人健康需求购物——比如生酮饮食、无添加糖、植物基、心脏健康、无乳制品等）。我们是为个性化、偏好驱动的购物提供支持的“记录系统”。
在 Pinto，我们认为消费者应能轻松找到符合其个人需求的产品，而我们的数据平台通过数字化和分类全球产品，解决了这一问题，涵盖每一种消费者偏好——从每一种过敏原和不耐受情况到关键的生活方式和饮食（如素食、原始饮食、生酮饮食、无麸质），以及日益增长的健康状况（
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- You’ll use your skills to help solve real-world problems, while learning about the food, consumer products, and personalized nutrition ecosystem
- You’ll work across the Pinto Services stack using tools and languages like JavaScript/TypeScript, Node.js, MongoDB, GraphQL, AWS
- You’ll work with our Research, Nutrition, & Data Analyst teams to gain a deep knowledge of underlying use cases in food data and nutrition
- You’ll envision and create new features for our core data platform, which processes large, complex data sets from a variety of sources
- You’ll envision and create tools that contribute to and enhance our end-to-end data pipeline
- You’ll model, design and implement complex data integrations with our industry partners
- Experience with: Node.JS, JavaScript/TypeScript, working with NoSQL databases, building data processes from start to finish
- 3+ years of professional software development experience
- Bachelor's degree in computer science (or similar) or equivalent practical experience
- A track record of shipping high-quality software from start to finish
- A solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and system design
- Comfortable in a fast-paced startup environment
- Self-aware and have a desire to learn and improve
Bonus points for
- Example of code projects you’ve worked on (e.g. GitHub, BitBucket)
- Experience with: GraphQL, Amazon Web Services (AWS), MongoDB, building performant distributed systems
- Experience working with large, complex data sets from a variety of sources
- Strong communication skills
All your information will be kept confidential according to EEO guidelines.
Pinto (pinto.co) is building the smartest product database and analytics platform in food, grocery, and CPG. Our mission is to make the world of products optimized, searchable, and personalized for today's consumers (66% of whom now shop around personal health needs — think Keto, No Added Sugar, Plant-Based, Heart Health, No Dairy, etc etc.). We're the "system of record" that's powering personalized, preference-driven shopping.
At Pinto, we believe consumers should be able to easily find products according to their individual needs, and our data platform is solving this by digitizing and classifying the world of products across every consumer preference — from every allergen and intolerance to key lifestyles and diets (like Vegan, Paleo, Keto, Gluten Free), rising health conditions (like Diabetes Management, Heart Health, etc.), certifications, sustainability preferences, nutrition and ingredient preferences, and so much more.
The era of personalization is here and we’ve built Pinto to power it🍓📊.
Customer case studies:
-- Whole Foods Market:
-- Kroger:
Example of searches we power in production:
-- Find all Keto Snacks:
-- Find all Gluten-free crackers that are kosher:
-- Find all Vegan meat substitutes:
-- Find all Dairy-free yogurts:
-- Find all Pasta Sauces with No Added Sugars:
Examples of “personalized/curated” aisles created from our data:
-- Make my store Keto:
-- Make my store Vegan:
-- Make my store Paleo:
Pinto (pinto.co) is building the smartest product database and analytics platform in food, grocery, and nutrition, with a mission of making product data fully personalized, transparent, and easily searchable for both consumers and businesses alike. Over 66% of Americans now choose products based on personal health needs (think Keto, No Added Sugar, Plant-Based, Heart Healthy, No Dairy, Diabetes Management, etc etc), and the Pinto data platform is organizing the world of products at scale across every personalized dimension that matters to these modern consumers. The era of personalization is here and we’re building Pinto to power it 🍓📊.
We are a profitable, venture-backed company that's growing quickly, and we’re now looking for Backend Engineers to join our growing engineering team. In this role, you’ll work across the Pinto stack to contribute to and improve Pinto’s data platform, a suite of technologies and tools used to create, process, classify, visualize and make sense of complex food product data and analytics.
Ideal candidates will be comfortable leading initiatives from ideation to planning, prototyping, execution, shipping, and iteration. We use a variety of tools, technologies, and languages to build software including ES6 JavaScript/TypeScript, Node.JS, GraphQL, MongoDB, AWS and Distributed Systems.
This is an amazing opportunity for someone looking to join in the early stages of a rapidly growing technology startup solving a meaningful problem in food and the broader world of personalization in nutrition and consumer products.
Originally posted on Himalayas