Note: The job is a remote job and is open to candidates in USA. Verda is building a full-stack AI cloud spanning data centers, hardware, and cloud platforms for leading AI teams. The Platform Engineer will build, operate, and improve self-hosted Kubernetes platforms while maintaining reliability, automating infrastructure, troubleshooting production systems, and improving developer experience and operational practices.
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
Skills
- 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
- 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
Benefits
- Equity compensation
- Local benefits
- Remote work
Company Overview