Why This Role Stands Out
This remote role offers an excellent opportunity to build and manage cutting-edge Kubernetes infrastructure from the ground up, providing significant impact and skill development. You'll thrive here if you possess strong Linux administration and scripting skills, enjoy solving complex infrastructure challenges, and are eager to contribute to a dynamic technology environment. Apply now to leverage your expertise and grow your career in cloud-native technologies.
Quick Overview
Job Description
Kubernetes Infrastructure Engineer
Location: Remote
Duration: 12 months
Job 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
Similar jobs
- HD
AI Machine Learning Principal Engineer
NewHonda Dev. and Mfg. of Am.,LLC
Raymond, Ohio🇺🇸Hybrid2 minutes agoDockerAWSETL+10Technology - YU
Desktop Support Job Training Program
NewYear Up United
Chicago, Illinois🇺🇸$53k/yrHybrid2 minutes agoLESSTechnology - SE
Staff Data Platform Software Engineer - Persistence Team
NewServiceNow
Santa Clara, CALIFORNIA🇺🇸Hybrid3 hours agoMariaDBMySQLOracle+9Technology - SE
Staff Software Engineer - Cloud Automation - Federal
NewServiceNow
Kirkland, Washington🇺🇸Hybrid5 hours agoGCPAWSAgile+5Technology - SE
Senior Staff AI Security Engineer
NewServiceNow
Santa Clara, California🇺🇸Hybrid5 hours agoMachine LearningOAuthDeep Learning+6Technology - SE
Senior Manager - Machine Learning Engneering
NewServiceNow
Santa Clara, California🇺🇸Hybrid5 hours agoMicroservicesMachine LearningHTTPS+2Technology