DevOps Engineer (SaaS)

TL;DR

DevOps Engineer (SaaS): Building and maintaining scalable infrastructure for an AI-driven ERP automation platform with an accent on declarative systems, container orchestration, and reliability. Focus on designing reproducible infrastructure, optimizing deployment pipelines, and ensuring system security and correctness in a complex distributed environment.

Location: Onsite in Zurich, Switzerland

Company

hirify.global is a high-performance ETH and HSG spin-off developing an AI-driven ERP automation solution used by Fortune 500 companies globally.

What you will do

• 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.

Requirements

• Master's degree in Computer Science, Mathematics, Physics, or equivalent experience.
• Strong understanding of core software engineering principles including abstractions, modularity, and correctness.
• Experience modeling infrastructure declaratively (Infrastructure as Code).
• Experience with Kubernetes, Docker, and container fundamentals.
• Solid understanding of networking and security fundamentals.
• Experience working with at least one major cloud provider.

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.

Culture & Benefits

• Fast-growing, self-financed, and fully employee-owned scale-up environment.
• Located in Zürich’s iconic Bahnhofstrasse.
• Strong focus on engineering excellence and high-performance development practices.
• Opportunity to solve real enterprise problems with cutting-edge AI technology.