The opportunity
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.
What you'll do
Building Kubernetes Platform: Focus on scaling tooling and features dedicated to Crusoe's Managed Kubernetes and Managed VM platforms for external customers.
Collaboration and Planning: Collaborate with the team in morning stand-up meetings to discuss ongoing projects, recent incidents, and priorities for the day. Collaborate on action plans for deploying new data centers or retrofitting existing ones. Work closely with software engineers, advising on best practices for resilient code and reviewing changes before deployment.
System Monitoring and Alerting: Review overnight alerts and system performance metrics to ensure everything is running smoothly. Analyze system logs and develop tools to enhance our monitoring capabilities.
Incident Response and Problem Solving: Engage in incident response drills, post-mortems, and root cause analysis sessions to learn from past issues and prevent future ones. Resolve common errors automatically through automation and proactive remediation.
Performance Monitoring and Optimization: Stay focused on maintaining high SLIs and SLOs, ensuring that our infrastructure remains robust and reliable for our customers.
Documentation and Knowledge Sharing: Document work, share insights with the team, and plan for the next day's challenges, always with a customer-centric mindset.
What they're looking for
- Production Engineering Experience: 3-6 years of professional Production Engineer experience.
- Kubernetes: Experience building Kubernetes platforms or Kubernetes controllers
- Server Hardware and Provisioning: Exposure to server-class hardware & provisioning.
- Distributed Systems Architecture: Understanding of distributed system architecture; exposure to common design patterns, reliability, and scaling.
