Location: Tel Aviv
Hybrid: 3 days in office
Snappy is looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. You’ll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.
Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools—including AI—to improve team productivity and product quality.
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
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
Experience leading technical projects or mentoring engineers
Experience in high-scale SaaS environments
Familiarity with observability, performance optimization, and CI/CD pipelines