ShopLevers delivers AI-powered bookkeeping, parts reconciliation, and financial analysis built specifically for auto repair shops. The platform adapts to each shop's workflows and preferences, learning how financial data should be categorized, which exceptions matter, and what to flag or automate. Role Description Full-time, remote within Spain. You'll design, build, and maintain the backend services and integrations behind our bookkeeping and financial analysis platform, working alongside our senior engineer and product manager. Building and maintaining integrations with shop management systems and accounting software (QuickBooks), where the data is messy, the APIs are inconsistent, and correctness is non-negotiable Designing ingestion and transformation pipelines that turn raw repair-order data into the metrics shops actually run their business on Working across our operational and analytical databases,



including query-time aggregation over large volumes of multi-tenant financial data Building and scaling event-driven services on Google Cloud, with a focus on reliability, idempotency, and recovering cleanly from failure Contributing to architecture decisions, reviewing code, and writing the tests that let us ship quickly without breaking shops' books Strong, production-level proficiency in Node.js/TypeScript or Python Strong foundation in data structures and software design Solid database experience across both SQL and NoSQL Ability to handle general backend tasks, ensuring stability, scalability, and clean code Comfort with cloud-based environments, containerization, and CI/CD workflows Independent and self-driven, comfortable in an early-stage startup where priorities shift Professional working proficiency in English ETL and data pipeline experience Experience with columnar/analytical databases (ClickHouse, BigQuery, Snowflake, Redshift) #

📌 Vacancy: Software Engineer (Barcelona)
🏢 ShopLevers
📍 Barcelona