At a Glance
- Tasks: Design and implement automated validation suites for GPU clusters in Kubernetes environments.
- Company: Era4, a forward-thinking tech company focused on AI infrastructure.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Other info: Collaborative environment with great potential for career advancement.
- Why this job: Join us to ensure cutting-edge AI platforms are production-ready and make a real impact.
- Qualifications: Experience with Python, IaC, and validating complex systems.
The predicted salary is between 60000 - 80000 £ per year.
Era4 is seeking an AI Infrastructure Validation Engineer to design and implement automated preflight validation suites for bare-metal and Kubernetes environments. You will validate multi-node GPU clusters under enterprise workloads, ensuring production readiness of each platform release and hardware deployment. You will build zero‑dependency Python tools, write IaC, and orchestrate intelligent tests that detect drift and analyze platform changes, working across Product, Engineering.
We think you need these skills to ace AI Infra Validation Engineer - Scale GPU Clusters
Automated Testing
Python
Infrastructure as Code (IaC)
Kubernetes
GPU Clusters
Validation Suites
Multi-node Systems
