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Crusoe

Senior Production Engineer, Core PE

Dublin - IEOnsite · Ireland
Senior · FullTime · Cloud Engineering
POSTED 20 JULVERIFIED 29M AGO
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Pay · H-1B filings
$280k
median · n=8 · FY26
Open for
106d
closes ~69d here
H-1B · FY26
13
certified LCAs
Hiring · 30d
329
−10 net · open roles
AWSGCPKubernetesDistributed systems

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role

Crusoe is building the most reliable, energy-efficient, AI-optimized cloud platform — and Production Engineering sits at the heart of that mission. As a Production Engineer focused on Operational Excellence, you will help ensure the reliability, scalability, and performance of Crusoe’s GPU cloud that powers next-generation AI workloads.

This role is ideal for engineers who enjoy solving complex production problems, improving large-scale distributed systems, and building automation that keeps infrastructure running smoothly. You’ll play a key role in strengthening the operational foundation of Crusoe’s cloud while helping scale infrastructure that supports demanding AI and HPC workloads.

You’ll partner closely with Production Engineers, infrastructure teams, and platform engineers to improve system reliability, reduce operational toil, and drive continuous improvements across Crusoe’s rapidly growing GPU cloud.

What You’ll Be Working On

Collaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs

Participate in production incident response, diagnosing and resolving service disruptions while contributing to post-incident reviews and root cause analysis

Build, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry

Identify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems

Develop automation and tooling that reduces operational toil, improves recovery times, and enables self-healing infrastructure

Partner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities

Contribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organization

Continue growing technical depth through mentorship, training, and hands-on work operating large-scale AI infrastructure

What You’ll Bring to the Team

5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations

Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems

Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space

Previous experience in Infrastructure roles building or managing compute, storage or networking platforms

Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)

Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar)

Experience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area

Source · CrusoeFirst seen 2 NovOriginal ↗