Job Title: Infrastructure Engineer (Linux, Windows, Kubernetes, Networking)
Employment Type:Contract
Experience Level:8 + years
Job Summary:
We are seeking an experiencedInfrastructure Engineerto support data center operations, hardware deployment, Kubernetes management, and networking tasks. The ideal candidate should have expertise in Linux and Windows environments, Kubernetes cluster management, network troubleshooting, and scripting.
Key Responsibilities:
Data Center Operations & Hardware Deployment:
- Deploy, configure, and maintain hardware in adata center environment, including servers, network switches, storage arrays, and HSMs.
- Work withfiber optic and copper cabling (Cat5e/Cat6/Cat6a), including termination (RJ45, LC, SC connectors) and testing.
- Perform routine hardware diagnostics and troubleshooting.
Kubernetes & Server Management:
- Deploy and manageKubernetes clustersonbare metal or virtualized environments.
- Troubleshoot issues related to container orchestration and workload distribution.
- Optimize Kubernetes performance and security.
Networking & Security:
- Configure and troubleshootnetwork switches, VLANs, subnetting, IP addressing, and routing.
- Conduct network performance analysis and resolve connectivity issues.
- Work with network security tools and configurations.
System Administration & Scripting:
- Administer and manageLinux and Windows operating systems.
- Develop and maintain automation scripts fordeployment, configuration, and system monitoring.
- Optimize system performance, security, and availability.
Required Skills & Experience:
- Strong knowledge of Linux and Windows administration.
- Hands-on experience with Kubernetes cluster deployment and management.
- Networking expertise, including VLAN, subnetting, IP addressing, routing, and network troubleshooting.
- Hardware deploymentexperience in adata center environment, including cabling and connectivity troubleshooting.
- Proficiency in scripting (e.g., Bash, Python, or PowerShell)for automation and system management.
Preferred Qualifications:
- Experience withcontainerization tools(Docker, Helm).
- Knowledge ofcloud platforms(AWS, Azure, GCP) is a plus.
- Familiarity withCI/CD pipelinesfor automated deployments.
- Certifications such asRHCE, CKAD/CKA, CCNA, or equivalentare a plus.
