Platform Developer, Zürich (Kreis 11)

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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