Role: Kubernetes Engineer
Work location: Portland, Oregon- Onsite
Contract
Job Description:
“We are seeking a Kubernetes Platform Engineer to design, deploy, and operate Kubernetes-based hosting platforms across edge and embedded systems. You’ll play a critical role in ensuring our platform is secure, scalable, and resilient—supporting multi-tenant services and orchestrating workloads across aircraft and ground-based environments. This is a high-impact role for engineers who thrive in cloud-native ecosystems and are passionate about automation, security, and performance optimization. Experience in the telecom domain and networking is a strong plus.
Your role
Develop and maintain custom Kubernetes controllers, CRDs, and operators to extend platform capabilities..
Integrate Kubernetes with Linux-based infrastructure bootstrapped via PXE, OTA, and other provisioning methods.
Deploy and configure K3s clusters across heterogeneous hardware (bare metal, ARM/x86 nodes, and accelerators).
Automate cluster provisioning, node registration, and upgrade workflows.
Monitor platform health using Prometheus, Grafana, and Kubernetes Events.
Enforce network policies, RBAC, secrets management, and container security best practices.
Optimize Kubernetes performance on constrained hardware and air-gapped systems.
Troubleshoot container runtimes, DNS resolution, and overlay networking (e.g., Calico, Flannel).
Your skills and experience
5+ years of experience managing Kubernetes platform components and lifecycle operations.
Understanding of multi-node hybrid clusters across x86, ARM, and accelerators.
Proficiency with Helm charts and Argo CD for application and platform deployment. Strong skills in Go, Bash scripting, YAML/JSON configuration, and REST API development. Deep understanding of Kubernetes CNI plugins and network policy management.”
What are the Mandatory skills and skill proficiencies required for this position?
“• Hands-on experience with K3s/Kubernetes deployment and lifecycle management; onprem K8/K3 cluster experience;
• Strong understanding of multi-node hybrid clusters across x86, ARM, and accelerators.
• Proficiency with GitOps tools (ArgoCD, Flux) and declarative deployment workflows. • Experience with container runtime configuration (containerd, CRI-O, Docker). • Familiarity with Linux OS images, networking (CNI), and storage provisioning (CSI). • Knowledge of infrastructure-as-code tools (Terraform, Ansible, Helm). • Strong debugging skills for cluster bring-up, networking, and workload scheduling.
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