SYSTEM DEPLOYMENT ENGINEER

Job Title: System Deployment Engineer (Linux, Windows, Kubernetes, Networking)

Employment Type: Contract

Experience Level: 8+ years

Job Summary: We are seeking an experienced  Infrastructure Engineer to 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 a  data center environment , including servers, network switches, storage arrays, and HSMs.

Work with  fiber 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 manage  Kubernetes clusters on  bare metal or virtualized environments .

Troubleshoot issues related to container orchestration and workload distribution.

Optimize Kubernetes performance and security.

Networking & Security: Configure and troubleshoot  network 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 manage  Linux and Windows operating systems .

Develop and maintain automation scripts for  deployment, 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 deployment experience in a  data center environment , including cabling and connectivity troubleshooting.

Proficiency in scripting (e.g., Bash, Python, or PowerShell) for automation and system management.

Preferred Qualifications: Experience with  containerization tools (Docker, Helm).

Knowledge of  cloud platforms (AWS, Azure, GCP) is a plus.

Familiarity with  CI/CD pipelines for automated deployments.

Certifications such as  RHCE, CKAD/CKA, CCNA, or equivalent are a plus.