Site Reliability Engineer, GPU Cluster & Secure Infra

Meitner Energy; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Meitner Energy in the United States is seeking a Site Reliability and Infrastructure Engineer to own the GPU cluster, private networking, and data storage for our private AI platform. This hands-on role focuses on uptime, security, and automation.

You will implement declarative infrastructure, run on-call, and collaborate with the AI Platform Lead and IT teams to keep regulated and non-regulated workloads properly separated and auditable.

Qualifications

• Bachelor's degree or equivalent technical experience.
• 4+ years in site reliability, infrastructure, or systems engineering.
• Strong Linux, networking, and firewall/ACL management skills.
• Production container orchestration experience and declarative IaC proficiency.
• Experience operating GPU clusters or HPC infrastructure.
• Experience with metrics, logging, and alerting stacks and incident response.
• Experience implementing network segmentation and privileged access controls, on-site in Dallas.

Responsibilities

• Own GPU cluster operations and security boundaries for regulated and non-regulated workloads.
• Own infrastructure-as-code for platform environments and ensure reproducible deployments.
• Develop and maintain staging/test environments that mirror production and automate releases.
• Define backup, restore, and recovery objectives; maintain observability and cost telemetry.

Skills

Linux administration

Networking fundamentals

Firewall & ACLs

Kubernetes

Infrastructure as Code

GPU clusters

Metrics & alerting

On-call ownership

Zero-trust networking

Education

Bachelor's degree in Computer Science or Engineering

Job description

Meitner Energy in the United States is seeking a Site Reliability and Infrastructure Engineer to own the GPU cluster, private networking, and data storage for our private AI platform. This hands-on role focuses on uptime, security, and automation.

You will implement declarative infrastructure, run on-call, and collaborate with the AI Platform Lead and IT teams to keep regulated and non-regulated workloads properly separated and auditable.