DevOps Engineer (AI)

TL;DR

DevOps Engineer (GCP/Kubernetes): Building and running platforms for an AI-powered patent search engine with an accent on CI/CD automation, cloud infrastructure scalability, and observability. Focus on optimizing developer experience, implementing SRE practices for self-hosted components, and securing agentic AI systems.

Location: Must be based in Finland, Sweden, Germany, or the UK (Hybrid)

Company

AI scale-up providing an AI-powered SaaS platform that makes patent searching fast and accurate for global innovators.

What you will do

• Design, implement, and maintain scalable and secure cloud infrastructure on GCP.
• Develop and optimize CI/CD pipelines using GitHub Actions and ArgoCD to accelerate software delivery.
• Build internal tooling to reduce toil and enhance the overall developer experience.
• Own observability across the stack, managing metrics, logs, and traces for service optimization.
• Handle SRE responsibilities for self-hosted components, including disaster recovery and incident response.
• Integrate security best practices into all aspects of the DevOps process.

Requirements

• Proficiency with Kubernetes and containerization.
• Experience architecting platforms for hosting SaaS applications on major cloud platforms.
• Familiarity with modern software development practices, blame-aware postmortems, and incident response.
• Fluent English proficiency.

Nice to have

• Knowledge of ML infrastructure.
• Experience hosting highly available stateful workloads on Kubernetes.
• Experience securing agentic AI systems.

Culture & Benefits

• Six weeks of paid holiday.
• Flexible hybrid work arrangement.
• Learning and development support.
• Stock options.
• Collaborative culture that values quality and a sustainable pace.

Hiring process

• Introductory call with the Talent Acquisition Manager.
• Cultural fit interview with the Engineering Manager.
• Technical interview with the Platform team.
• Final conversation with the CTO.