As a Backend Engineer, you build the scalable, resilient engine that powers the 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.
Requirements: Your Mindset:
Builders Mentality: You care about the engine room. You take pride in writing code that is efficient, readable, and robust under pressure.
System Thinker: You dont 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.
This position is open to all candidates.