Your Mission at Yotpo As a Backend Engineer, you build the scalable, resilient engine that powers the Yotpo platform. Your mission is to design and implement high-performance services that handle massive scale, ensuring data integrity and system reliability for thousands of brands. Working within a product team, you will translate complex business logic into robust architectural solutions, ensuring that our infrastructure can scale as fast as our customers do.

Key Responsibilities

• Distributed Systems Design: Design and build microservices and event-driven architectures that are resilient, scalable, and maintainable. You will make critical decisions on synchronous vs. asynchronous communication and data consistency.
• Data Mastery: Manage the lifecycle of data across our platform. You will design efficient database schemas (SQL & NoSQL) and optimize query performance to handle high-throughput workloads.
• Operational Excellence: Embrace the "You Build It, You Run It" philosophy. You will own your services in production, implementing observability (logging, tracing, metrics) to detect issues before our customers do.
• API Craftsmanship: Build clean, secure, and well-documented APIs (REST/GraphQL) that serve as the contract between our backend services and the frontend experience.

What You Bring

• Your Mindset:
• Builder's Mentality: You care about the "engine room." You take pride in writing code that is efficient, readable, and robust under pressure.
• System Thinker: You don't just solve the ticket; you consider how your changes affect the broader distributed system.
• Efficiency Driven: You view automation and modern tools as essential levers to deliver higher quality work faster.
• Your Experience & Qualifications:
• Must Haves:
• 6+ years of experience building scalable backend services in a production environment.
• Backend Fluency: Strong proficiency in modern backend languages (Java, Python, or Node.js) and their ecosystems.
• Cloud Native: Experience building and deploying services on cloud platforms (AWS preferred), utilizing Kubernetes, containers and CI/CD pipelines.
• Database Expertise: Solid understanding of relational databases (PostgreSQL/MySQL) and NoSQL stores (DynamoDB/Mongo).
• Modern Development Workflow: Proven experience leveraging coding assistants to accelerate development and testing.