Platform Engineer
Verda (formerly DataCrunch) is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, self-service clusters, serverless containers, storage, and inference infrastructure.
Funding history
About Verda
Founded in Helsinki in 2020, Verda operates European AI cloud infrastructure across physical data centers, hardware, a cloud platform, and AI research. DataCrunch renamed to Verda in November 2025 without changing its service offering.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build, operate, and improve self-hosted Kubernetes platforms. You will automate infrastructure, maintain reliable production operations, troubleshoot Linux and distributed systems, strengthen platform security, and improve deployment processes and developer experience.
Requirements
- 3-7 years operating production Kubernetes environments
- Experience managing self-hosted Kubernetes clusters end-to-end
- Experience with Kubernetes operations, upgrades, scaling, and troubleshooting
- Experience with on-call rotations and production incident management
- Experience with infrastructure automation, Ansible, GitOps, and CI/CD
- 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 with Python, Bash, Go, or similar
- Experience using AI-powered tooling to improve engineering workflows
- Collaboration and communication skills
- 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 Prometheus, Grafana, and Loki
- Familiarity with Infrastructure as Code, ArgoCD, Helm, Kustomize, and Kubernetes operators
- Knowledge of distributed systems, storage, and high-availability environments
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
Benefits
- Cash and equity compensation
- Fringe benefits
- Stocked office fridge