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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.
Meitner Energy is seeking a Site Reliability and Infrastructure Engineer to own the physical and network foundation of the company’s private AI platform. This is a hands-on engineering role with direct responsibility for the GPU cluster, private networking, storage, and the technical boundary that separates regulated from non-regulated workloads, along with the deployment automation and staging environments the rest of the platform depends on. The position suits an infrastructure or reliability engineer who builds through code, tests recovery before needing it, and is comfortable defending a network design under scrutiny.
Meitner Energy is developing advanced nuclear energy solutions intended to deliver reliable, scalable, and carbon-free electricity for industrial and grid applications.
Our international team brings together nuclear, engineering, commercial, regulatory, and project-development experience. We are building an organization focused on disciplined engineering, responsible execution, and the deployment of nuclear energy at meaningful scale.
Meitner’s AI platform runs on infrastructure that has to be right, and this role owns it. You will operate the bare-metal GPU cluster, the private networking and storage beneath it, and the compliance boundary that keeps regulated nuclear material separated from general-purpose workloads. You will also own the deployment automation and staging environments that other platform engineers rely on to ship reliably, which makes this the layer everything else is built on.
The work rewards someone who treats uptime and security posture as fixed requirements, can implement a default-deny network architecture and explain every exception in it, and has the discipline to automate and document rather than carry the environment in their head. You will work directly with the AI Platform Lead and partner with corporate IT on shared networking and identity where that makes sense.
This role is ideal for someone who:
Operate and maintain the GPU cluster serving both the regulated and the non-regulated tiers, enforcing default-deny egress, network segmentation, and management-plane protection through zero-trust access patterns, bastion hosts, and privileged access controls. You will own the network architecture that separates export-controlled and otherwise sensitive workloads from general-purpose compute, and ensure those controls satisfy the export-control and controlled-information requirements applicable to advanced nuclear technology, working alongside the AI Platform Lead and compliance stakeholders. You will also partner with corporate IT on shared networking and identity infrastructure while maintaining clean boundaries between platform and corporate systems.
Own the infrastructure-as-code for the platform environment, using a declarative and version-controlled toolchain, so that every infrastructure change is version-controlled, reviewed, and reproducible from source. You will build and maintain staging and test environments that mirror production closely enough to catch failures before they reach the live cluster, and implement deployment automation that supports reliable, auditable releases in coordination with the platform engineers who depend on it.
Define and enforce backup procedures, restore testing cadence, and recovery objectives for the platform, ensuring recovery procedures are documented and verified rather than assumed. You will own the platform observability stack covering metrics, logs, and alerting, building dashboards and alerts that surface problems before they become incidents, and maintain the capacity and cost telemetry for GPU and storage resources that informs infrastructure investment decisions.
You will carry on-call responsibility for the platform infrastructure, respond to incidents with urgency, and conduct blameless post-incident reviews that close the loop on root cause rather than stopping at service restoration.
The strongest candidate will be an engineer who has carried a pager for infrastructure they built themselves and can describe what they learned the hard way. This may be an excellent next step for a site reliability engineer, infrastructure engineer, or systems engineer who wants full ownership of a cluster and its security boundary rather than a share of a large fleet. Candidates should be prepared to discuss the worst outage they owned, not the cleanest one.