SYSTEM DEPLOYMENT ENGINEER

Tech Aalto Pte. Ltd; Singapore; On-site; SGD 78,000 - 123,000; Full time

Job summary

Tech Aalto Pte. Ltd. seeks an experienced Infrastructure Engineer to support data center operations, hardware deployment, Kubernetes management, and network tasks.

The ideal candidate will have strong Linux and Windows know-how and hands-on Kubernetes cluster management. The role involves hardware deployment in a data center, cabling, troubleshooting, and automation scripting to streamline deployment, configuration, and monitoring.

Qualifications

• 8+ years of infrastructure engineering experience in data center environments.
• Strong expertise in Linux and Windows administration.
• Hands-on Kubernetes cluster deployment and management experience.
• Networking proficiency including VLANs, IP addressing, routing and troubleshooting.
• Hardware deployment in a data center, including cabling and connectivity testing.
• Automation scripting with Bash, Python, or PowerShell.

Responsibilities

• Data Center Operations & Hardware Deployment: Deploy, configure, and maintain data center hardware including servers, switches, storage, and HSMs; manage cabling and connectivity testing.
• Kubernetes & Server Management: Deploy and manage Kubernetes clusters on bare metal or virtualized environments; troubleshoot orchestration issues; optimize performance and security.
• Networking & Security: Configure switches, VLANs, subnetting, IP addressing and routing; analyze network performance and resolve connectivity issues; work with security configurations.
• System Administration & Automation: Administer Linux and Windows systems; develop and maintain automation scripts for deployment, configuration, and monitoring; enhance system reliability.

Skills

Linux administration

Windows administration

Kubernetes deployment

Kubernetes management

Networking

Data center hardware deployment

Automation scripting

Tools

Docker

Helm

Kubernetes

Job description

Job Title: System Deployment 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 ing.

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 & ing:

• Administer and manageLinux and Windows operating systems.
• Develop and maintain automation s 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 ing (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.