Senior/Mid-Level Platform Engineer - Verda - Remote - Global

Imagine a future where everyone has instant, low-cost access to powerful computing resources. We're building a fully featured European cloud computing platform—with everything one needs to run, scale, and deploy applications and workloads. In addition, our infrastructure runs on 100% renewable energy. We’re ambitious, curious, and gutsy doers. We practice a low hierarchy across the company and high morale in our teams. We’ve already achieved a lot, yet we’re only getting started. Now it’s your chance to join the ride. We offer more than just the job - we offer a career-defining opportunity to be part of building something big! Join Verda while it’s still being built - not once it’s finished. Why Verda Cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.). Profitable operations with rapid, sustained growth. 31 nationalities, with 6 different ones on the management team. An opportunity with make a clear impact and work alongside world-class engineers, researchers, and partners across the global AI ecosystem. Practicalities Hybrid mode: This role requires presence in our Helsinki office 3 days per week. Don’t worry - you won’t be alone or hangry there. (We keep a stocked fridge…) Employment type: Full-time and permanent. Responsibilities Build, operate, and improve self-hosted Kubernetes platforms across deployment, automation, scaling, upgrades, and production operations Maintain platform reliability through on-call participation, incident response, and troubleshooting Manage Kubernetes infrastructure including networking, observability, storage, and platform services Develop infrastructure automation using Ansible, GitOps, and CI/CD workflows Collaborate with engineering teams to improve developer experience, deployment processes, and operational efficiency Operate and troubleshoot Linux systems, container platforms, and distributed infrastructure Implement Kubernetes networking and security best practices, including cluster hardening and access controls Leverage AI-assisted engineering tools to improve automation, operations, and troubleshooting Contribute to platform standards, documentation, and operational best practices Key Competencies 5+ years operating production Kubernetes environments Strong experience managing self-hosted Kubernetes clusters end-to-end Hands-on experience with Kubernetes operations, upgrades, scaling, and troubleshooting Experience with on-call rotations and production incident management Strong background in infrastructure automation (Ansible), GitOps, and CI/CD Solid Linux administration and debugging skills Experience with containerized and cloud-native infrastructure Understanding of Kubernetes networking, CNI plugins, and platform security Scripting or programming experience (Python, Bash, Go, or similar) Comfortable using AI-powered tooling to improve engineering workflows Strong collaboration and communication skills Nice to Have Experience with Rancher and Cilium Familiarity with Kubernetes security policies and cluster hardening Experience with GPU workloads, AI/ML infrastructure, or NVIDIA container runtimes Experience with observability tooling such as Prometheus, Grafana, and Loki Familiarity with Infrastructure as Code and Kubernetes ecosystem tools (ArgoCD, Helm, Kustomize, operators) Knowledge of distributed systems, storage, and high-availability environments What's next We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move. If this sounds like your next move, apply now. Please submit your application through our Careers page. We don’t accept applications sent by email.