Job Description

Kubernetes Infrastructure Engineer-Remote

No 3rd Parties or Sponsorships

1 Year Project

*MUST have Extensive and current hands-on Kubernetes experience

*You must have experience working as a Sr consultant and hands on experience with description below

*Must be client facing, so outstanding communication and professionalism

Scope Operations:

• Building, deploying, and maintaining on-premises Kubernetes clusters from the ground up, including control plane components, etc, networking (CNI), storage (CSI), and ingress controllers
• Performing Kubernetes cluster lifecycle management: upgrades, patching, scaling, and decommissioning
• Deploying, configuring, and managing containerized applications on existing Kubernetes infrastructure
• Administering and troubleshooting Linux-based servers that underpin the Kubernetes environment
• Monitoring cluster health, diagnosing node and pod-level issues, and performing capacity planning
• Managing container runtimes (e.g. container), container registries, and image lifecycle
• Configuring and maintaining cluster networking (Calico or similar CNI plugins), load balancers, and DNS
• Implementing and managing persistent storage solutions (NFS, local PV, or CSI drivers)
• Supporting internal teams with service migrations to Kubernetes, troubleshooting deployment issues, and handling escalations

Engineering

• Writing and maintaining automation scripts (Bash, Python) for cluster provisioning, configuration management, and operational tasks
• Creating and maintaining Helm charts, or other templating solutions for application deployments
• Building and improving CI/CD pipelines for infrastructure and application delivery
• Creating, modifying, and reviewing technical documentation and runbooks

Skills - Must Have

Experience building and maintaining Kubernetes clusters from scratch

Experience deploying & managing applications

Linux OS admin & troubleshooting

Scripting & coding skills in Bash ∨ Python

Docker, container, OCI images, container registries

Experience with bare-metal Kubernetes deployments (as opposed to managed cloud services)

Familiarity with cluster bootstrapping tools (kubeadm or similar)

Experience with monitoring and observability stacks (Prometheus, or similar)