Site Reliability Engineer

Job Title: Site Reliability Engineer

Location: Remote (US, EST hours required)

Interview Process: 2x Interviews

Client Overview

This is a global materials science leader with a 170 plus year history, operating dozens of manufacturing and R&D sites worldwide. This role sits within a research and development group supporting advanced computing infrastructure behind ongoing materials science innovation.

Top 3 Skills

• Kubernetes cluster operations and management, including provisioning, upgrades, and troubleshooting across on premises and cloud environments
• Rancher for Kubernetes platform management
• Linux systems administration, including performance tuning, scripting, and networking

What You'll Do

• Maintain and enhance Kubernetes platforms across on premises and cloud environments
• Support provisioning, upgrades, troubleshooting, and lifecycle management of Kubernetes clusters managed through Rancher
• Provide deep Linux systems administration support, including performance tuning, troubleshooting, and automation
• Develop and maintain infrastructure as code solutions to standardize and automate platform deployment
• Support and improve GitOps workflows using ArgoCD to manage cluster and application configuration
• Collaborate with developers, scientists, and infrastructure teams to deliver reliable platform services
• Identify opportunities to improve platform resilience, observability, security, and maintainability

What We Need From You

• 5 plus years of professional experience in site reliability engineering, platform engineering, DevOps, or systems engineering
• Hands on experience operating Kubernetes platforms in production environments, both on premises and cloud based
• Experience with Rancher for Kubernetes cluster management
• Strong Linux systems administration skills, including troubleshooting, scripting, and system performance analysis
• Experience implementing infrastructure as code solutions for platform provisioning and lifecycle management

Preferred/Bonus

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
• Experience with Cluster API (CAPI)
• Experience with hybrid infrastructure spanning on premises and public cloud (AWS, Azure, Google Cloud Platform)
• Familiarity with Kubernetes observability, logging, monitoring, and alerting tooling
• Experience supporting scientific research, high performance computing, or computational science environments
• Experience with Agile teams (Scrum, Kanban)