Senior Backend Engineer

A fast-growing, Y Combinator-backed AI startup in the supply chain space is looking for a Senior Backend Engineer to help build the backbone of an AI-powered platform that plans and executes how consumer goods are produced and moved globally. You’ll join a small, high-velocity engineering team on-site in Munich, Germany and own backend systems end-to-end - turning the messy physical flow of goods into programmable, reliable, and scalable software. Visa sponsorship is available. The company operates in the Consumer Packaged Goods (CPG) / AI supply chain management sector, with a product suite spanning demand forecasting, inventory optimization, automated supplier communication, and AI-driven exception handling. What You’ll Do Design and implement backend systems that power AI-driven supply chain decisions. Architect data models and pipelines to ingest and organize messy, real-world data. Ensure user requests and plans are processed in real time for reliable, continuous execution. Build scalable, high-performance SQL queries and data access patterns for large datasets. Ship production-grade services using modern backend frameworks and rigorous testing practices. Collaborate closely with the core product and engineering team to translate complex logistics problems into elegant software. Own and improve deployment and runbook processes to keep systems running 24/7.

Must-haves: 5+ years of hands-on experience as a Backend Engineer with a strong track record of designing and shipping real products. Proficiency in Python and modern backend frameworks such as FastAPI, with solid testing skills using tools like pytest. Experience with AI code generation and management tools (e.g., Claude Code, Codex, OpenCode), including parallelizing instances for continuous operation. Proven ability to own backend systems end-to-end - from data architecture through to real-time request processing. Strong SQL skills, including writing high-performance queries over millions of data points. Experience organizing and managing messy, unstructured, real-world data. Solid system design skills and experience building scalable data architectures with minimal supervision. Nice-to-haves: Experience building unstructured data ingestion systems. Familiarity with frontend frameworks and their testing ecosystems. Experience with DevOps practices and AWS. Background in supply chain, logistics, or CPG industries. You’ll thrive here if you: Have a practical, builder mindset and are comfortable choosing the right tools for the job. Enjoy working autonomously in a small, fast-paced team at an early-stage startup. Are excited about applying AI tooling to accelerate your own engineering workflow.