Senior Full Stack Engineer

🕒 May 7

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Logo of Snappy

Snappy

WebsiteLinkedIn

51 - 200 employees

Founded 2015

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 $25M Series D - Snappy on 2024-04

SaaS • B2B • eCommerce

Snappy is a B2B SaaS platform for corporate gifting, swag stores, and fulfillment that lets companies send personalized digital unwrapping experiences and physical gifts globally. It provides an API and integrations (Slack, Salesforce, HRIS, Microsoft Teams), automated gifting workflows, analytics, and on-demand swag/store capabilities so recipients can choose their preferred items without requiring addresses. Snappy handles sourcing, logistics, and reporting to drive employee engagement, customer loyalty, and activation campaigns.

📋 Description

• Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus) • Own projects from ideation through production, including architecture, development, deployment, and monitoring • Make and influence key technical decisions, balancing speed, scalability, and maintainability • Collaborate cross-functionally to translate business needs into robust technical solutions • Drive best practices in code quality, testing, observability, and security • Mentor engineers through code reviews, design discussions, and knowledge sharing • Continuously improve development processes, tooling, and team efficiency • Contribute to a strong engineering culture of ownership, accountability, and continuous learning

🎯 Requirements

• 7+ years of experience in full stack development (with a strong backend orientation) • Proven experience designing and building scalable, distributed systems in production environments • Deep expertise in Node.js and TypeScript • Strong experience with modern frontend frameworks (React) and advanced JavaScript/TypeScript • Solid understanding of system design, APIs (REST/OpenAPI), and microservices architecture • Experience working with both NoSQL and relational databases. Proficiency with MongoDB and/or PostgreSQL is required, including schema design, query optimization, and handling production-scale data. • Hands-on experience with relational and non-relational databases • Experience working with event-driven architectures (e.g., Kafka, queues, pub/sub systems) • Experience with cloud platforms and serverless architectures (e.g., AWS Lambda) • Experience applying AI-powered development tools (e.g., GitHub Copilot, Cursor) to improve productivity. Familiarity with MCPs and AI agents is a must. • Strong problem-solving skills with the ability to operate independently and take initiative • Excellent communication skills and ability to collaborate across teams • Fluent in English.

🏖️ Benefits

• Hybrid: 3 days in office

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