Platform Engineer (m/f/d)

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. Decisions are made collaboratively within the team of highly experienced, staff-level peers, with the Head of Software facilitating the conversations and escalating to the CTO only for major architectural turning points. It is an environment where proactive builders thrive and passive caretakers do not.

AWS · Terraform · Kubernetes · CI/CD · Linux Sysadmin Fundamentals · PostgreSQL/MySQL · MLOps · GPU Workloads · CDN (CloudFront/Fastly/Cloudflare) · Streaming Data / Video Processing Systems

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.

What you'll do:

• 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

What we offer:

• 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

• 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