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 across deployment, automation, scaling, upgrades, and production operations. You will maintain platform reliability through on-call work and incident response, automate infrastructure with Ansible, GitOps, and CI/CD, and improve platform security, networking, observability, and developer experience.
Requirements
- 3–7 years operating production Kubernetes environments
- Self-hosted Kubernetes cluster management
- Kubernetes operations, upgrades, scaling, and troubleshooting
- On-call rotations and production incident management
- Ansible
- GitOps
- CI/CD
- Linux administration and debugging
- Containerized and cloud-native infrastructure
- Kubernetes networking
- CNI plugins
- Platform security
- Python, Bash, Go, or similar scripting/programming
- AI-powered engineering tooling
- Collaboration and communication
Responsibilities
- Build, operate, and improve self-hosted Kubernetes platforms
- Maintain platform reliability through on-call participation, incident response, and troubleshooting
- Manage Kubernetes networking, observability, storage, and platform services
- Develop infrastructure automation with Ansible, GitOps, and CI/CD workflows
- 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
- Use AI-assisted engineering tools for automation, operations, and troubleshooting
- Contribute to platform standards, documentation, and operational best practices
Benefits
- Equity compensation
- Local benefits
