Join blp – The #1 Solution for ERP Automation
blp is a high-performance ETH and HSG spin-off redefining ERP automation with AI. We solve real enterprise problems with cutting-edge tech and a strong sense of ownership. Our solution is in production across 40+ countries, used by 20'000+ daily active users, automating 70'000+ processes every day.
Our AI-driven ERP automation is transforming finance, procurement, logistics, sales, and more. As one of Switzerland's fastest-growing SaaS scale-ups, we are proudly self-financed and fully employee-owned.
Our success stems from deep expertise in technology and business processes, delivering a superior product with an outstanding product-to-market fit, proven by our growing customer base, including Fortune 500 companies.
Our rapid growth and career opportunities have been recognised with the LinkedIn Top Startup Award, and we’re just getting started. Our HQ? Zürich’s iconic Bahnhofstrasse, a fitting home for a company redefining how businesses operate.
Ready to build the future? Join blp today.
About the Role
We are looking for a DevOps Engineer who enjoys designing reliable systems, thinking rigorously about infrastructure, and applying strong software fundamentals to real-world operational problems.
Responsibilities
• Design, implement, and maintain infrastructure using declarative and reproducible approaches
• Apply solid software engineering principles to infrastructure, automation, and tooling
• Build and operate systems with a strong focus on reliability, security, and correctness
• Work extensively with containerized and orchestrated environments
• Maintain and improve build and deployment pipelines
• Understand and reason about networking and security concerns across environments
• 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 (abstractions, modularity, correctness, testing)
• Experience modeling infrastructure declaratively (infrastructure as code)
• Experience with Kubernetes, and a solid understanding of Docker and container fundamentals
• Experience with functional programming concepts or languages
• Solid understanding of networking concepts and security fundamentals
• Experience working with at least one major cloud provider
• High degree of precision, thoroughness, and attention to detail
• Ability to reason carefully about complex systems and edge cases
Nice to Have
• Experience with CI/CD pipelines and automation frameworks
• Familiarity with distributed systems and reliability engineering
• Experience with monitoring, observability, and incident response
• Exposure to security-focused infrastructure or compliance environments
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.
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