Platform Engineer

At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.
We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco.
Join Verda while it’s still being built - not once it’s finished.
Why Verda
Cash and equity compensation along with local benefits.
40+ nationalities, with 6 different ones on the management team.
A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.
Practicalities
Work mode: Remote
Level: Mid / Senior
Employment type: Full time and permanent
Compensation: USD 110,000 to USD 130,000 base salary, depending on experience and skills, plus equity. The final offer will reflect your experience, capabilities, and location within the range.
Your 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
Your key competencies
3-7 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.

Work arrangement
Yes