K3S Engineer (K3s Deployment & Hybrid Cluster Management)

The K3SEngineer 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.