Note: The job is a remote job and is open to candidates in USA. Elevait Solutions is a veteran-founded staffing company that supports candidates and clients throughout the placement process. They are seeking a Site Reliability Engineer to operate and enhance Kubernetes platforms across on-premises and cloud environments, manage Linux systems, automate infrastructure deployment, and improve GitOps workflows and platform reliability.
Responsibilities
- 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
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
- • 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
- • 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, GCP)
- • 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)
Benefits
- Remote work (US, EST hours required)
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