Respnsibilities

• Lead and participate in projects to build massive scale, highly available and secure training, production and development infrastructure.
• Ensure highly available GPU workloads for training and production inference purposes
• Respond to and investigate incidents across security and availability
• Platform Engineering to enable our engineers to be super fast
• Come up with and propose ways of accelerating the team
• Troubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issues

Requirements

• Very strong linux knowledge in the k8s VM and bare metal context, including bash scripting and troubleshooting
• Strong hardware knowledge around server hardware, networking hardware and GPUs
• Strong IaC knowledge with extensive experience in Terraform or Pulumi
• Extensive experience with either AWS and GCP, ideally with both
• Very strong coding skills
• Very strong knowledge of hardening cloud native and especially k8s workloads

Magic's culture

• Integrity. Words and actions should be aligned.
• Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
• Teamwork. We move as one team, not N individuals.
• Focus. Ethically deploy AGI. Everything else is noise.
• Quality. We have high standards for ourselves and our products. Magic should feel like magic.

Benefits and perks

• Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
• 401K with 6% match
• Flexible working hours
• In-person (SF or Vienna) or remote
• A small, fast-paced, highly focused team