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Kubernetes Infrastructure Engineer-Remote

  • United States, United States

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 &or 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)