Job Description
Job Description
Job Title: Kubernetes Engineer
Job location: Portland, Oregon
Job Duration: 3 Months Contract to Hire
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.
Job Responsibilities:
- 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).
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.
Mandatory skills:
- 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.