Platform engineer in manufacturing AI

We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure — with a focus on developer experience and the chance to get hands-on with AI systems.

• Design and maintain cloud infrastructure on AWS using Terraform
• Own and improve CI/CD pipelines for fast, safe deployments
• Manage and scale Kubernetes clusters
• Improve developer experience — making it easy for teams to ship and debug
• Implement monitoring, logging and alerting for full observability
• Configure and optimise CDN infrastructure

• 8-10 years of experience in DevOps, SRE or platform engineering roles
• Deep expertise in AWS
• Proficient with Terraform and infrastructure-as-code workflows
• Experience building and maintaining CI/CD pipelines
• Solid understanding of Kubernetes (deployment, networking, scaling, troubleshooting)
• Strong sysadmin fundamentals (Linux, networking, storage, configuration management)
• Comfortable with relational databases (PostgreSQL, MySQL) and time-series databases (TimescaleDB, Prometheus)
• Clear communicator who collaborates effectively across engineering and data science teams

• Employee Share Options Program for all permanent employees
• Benefits including Urban Sports Club and quarterly team retreats
• Hands-on experience working in an AI-first software company defining artificial intelligence in manufacturing
• Flat hierarchy, open 360° feedback, and flexible working hours
• At the company, the culture is built on deep ownership and flexibility, where engineers are trusted to own outcomes without micromanagement or clock-watching.
• The team operates on a highly flexible schedule, allowing people to start and end their days as they see fit.
• While the role is based hybrid in Berlin, most of the development team is located elsewhere, making intentional remote collaboration vital.