K3S/Kubernetes Engineer (K3s Deployment & Hybrid Cluster Management)

The K3s Engineer will contribute to Converix’s 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.

Responsibilities

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.

Deliverables

• Functional, reproducible K3s cluster deployments on hybrid architectures.
• Declarative manifests and GitOps pipelines for application deployment.
• Operational runbooks/playbooks for monitoring, upgrades, and incident recovery.
• Documentation of multi-node topologies, node roles, and cluster configuration.

Required Skills & Experience

• 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.