Job Title: K3S Engineer
Job Location: Portland Oregon
Jon Duration: 3 Months Contract to Hire
Job Summary:
- K3s Deployment & Hybrid Cluster Management
- The K3SEngineer will contribute to Converixs platform by managing Kubernetes (K3s) deployments across hybrid architectures (x86 ARM and specialized accelerators).
- The role ensures multi-node configurations are provisioned operated and maintained reliably enabling application manifests to be deployed in a declarative GitOps-driven way.
- This work provides the foundation for higher-level PaaS services and developer self-service.
Job Responsabilities:
Cluster Provisioning & Configuration
- Deploy and configure K3s clusters across heterogeneous hardware (bare metal ARM/x86 nodes and accelerators).
- Manage hybrid multi-node topologies (single-node edge clusters dual-node HA and multi-node deployments).
- Define and maintain consistent OS images networking and storage settings across nodes.
Declarative Deployment Enablement
- Implement GitOps workflows for declarative application management (e.g. ArgoCD Flux).
- Define validate and manage Kubernetes manifests Helm charts and CRDs.
- Automate lifecycle management of applications and infrastructure through declarative pipelines.
Operations & Reliability
- Monitor and maintain cluster health including networking storage and node availability.
- Implement self-healing scaling and failover strategies for hybrid deployments.
- Develop and maintain backup/restore upgrade and security hardening processes.
Integration & Hybrid Architecture
- Enable interoperability across ARM and x86 nodes in the same deployment.
- Configure workloads to leverage specialized accelerators (e.g. GPUs DPUs FPGAs).
- Ensure consistent declarative workflows regardless of underlying hardware architecture.
Collaboration & Documentation
- Work with DevOps SRE and PaaS teams to align K3s cluster deployments with platform goals.
- Document cluster provisioning deployment flows and operational playbooks.
- Train internal teams on hybrid K3s management and declarative deployment practices.
Mandatory Skills:
- Hands-on experience with K3s/Kubernetes deployment and lifecycle management.
- 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.
Job Title: K3S Engineer Job Location: Portland Oregon Jon Duration: 3 Months Contract to Hire Job Summary: K3s Deployment & Hybrid Cluster Management The K3SEngineer will contribute to Converixs platform by managing Kubernetes (K3s) deployments across hybrid architectures (x86 ARM and specialized ...
Job Title: K3S Engineer
Job Location: Portland Oregon
Jon Duration: 3 Months Contract to Hire
Job Summary:
- K3s Deployment & Hybrid Cluster Management
- The K3SEngineer will contribute to Converixs platform by managing Kubernetes (K3s) deployments across hybrid architectures (x86 ARM and specialized accelerators).
- The role ensures multi-node configurations are provisioned operated and maintained reliably enabling application manifests to be deployed in a declarative GitOps-driven way.
- This work provides the foundation for higher-level PaaS services and developer self-service.
Job Responsabilities:
Cluster Provisioning & Configuration
- Deploy and configure K3s clusters across heterogeneous hardware (bare metal ARM/x86 nodes and accelerators).
- Manage hybrid multi-node topologies (single-node edge clusters dual-node HA and multi-node deployments).
- Define and maintain consistent OS images networking and storage settings across nodes.
Declarative Deployment Enablement
- Implement GitOps workflows for declarative application management (e.g. ArgoCD Flux).
- Define validate and manage Kubernetes manifests Helm charts and CRDs.
- Automate lifecycle management of applications and infrastructure through declarative pipelines.
Operations & Reliability
- Monitor and maintain cluster health including networking storage and node availability.
- Implement self-healing scaling and failover strategies for hybrid deployments.
- Develop and maintain backup/restore upgrade and security hardening processes.
Integration & Hybrid Architecture
- Enable interoperability across ARM and x86 nodes in the same deployment.
- Configure workloads to leverage specialized accelerators (e.g. GPUs DPUs FPGAs).
- Ensure consistent declarative workflows regardless of underlying hardware architecture.
Collaboration & Documentation
- Work with DevOps SRE and PaaS teams to align K3s cluster deployments with platform goals.
- Document cluster provisioning deployment flows and operational playbooks.
- Train internal teams on hybrid K3s management and declarative deployment practices.
Mandatory Skills:
- Hands-on experience with K3s/Kubernetes deployment and lifecycle management.
- 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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