BLP Digital is a Swiss artificial intelligence company that automates financial processes such as invoicing and internal reporting.
Join BLP Digital — The #1 Solution for ERP Automation BLP Digital is redefining ERP automation with agentic AI. Spun out of ETH Zurich and HSG, we build AI agents that automate finance, procurement, logistics, sales, and more for some of the world's largest enterprises. We solve real enterprise problems with cutting-edge technology and a strong sense of ownership. Our solution is live in 40+ countries, used by 550+ customers, and automates 70,000+ processes every day, including for Fortune 500 companies. As one of Switzerland's fastest-growing SaaS scaleups, our success stems from deep expertise in technology and business processes, delivering a product with outstanding product-market fit, proven by a growing global customer base. We've recently welcomed Goldman Sachs Alternatives as a growth investor, and we're now expanding into the UK with the launch of our London office. We are just getting started. Ready to build the future? Join BLP Digital today. This role is available on-site in Zurich or remotely within Europe. About the Role We are looking for a Software Engineer who enjoys designing reliable systems, thinking rigorously about infrastructure, and applying strong software fundamentals to real-world operational problems. Responsibilities • Build and operate systems with a strong focus on reliability and correctness • Continuously improve system robustness through careful analysis and iteration • Understand the difficulty of managing entropy in a complex system and adapt accordingly Requirements • Master's degree in Computer Science, Mathematics, Physics, or a closely related field (or equivalent practical experience) • Strong understanding of core software engineering principles (type systems, composition, testing) • Experience with functional programming concepts or languages • High degree of precision, thoroughness, and attention to detail • Ability to reason carefully about complex systems and edge cases Nice to Have • Familiarity with distributed systems, Kubernetes or cloud infrastructure What We Value We value engineers who think deeply about systems, care about correctness, and take pride in building infrastructure that is understandable, maintainable, and reliable.