Security Engineer, Cloud
We exist to make humanity more free. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built—but only if models are aligned with what humanity actually wants. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them—with teams spanning hardware and software. Speed and scale are our key differentiators.
About the team
The Security Team is working on securing the frontier of AI. The model weights training on our infrastructure are the most valuable and most targeted artifacts in technology, and we're standing up the compute to hold them faster than anyone ever has. A breach isn't a leak, it's the frontier walking out the door. You'll build the entire security program from scratch, own it end to end (bare metal to boardroom), and secure a threat surface measured in gigawatts.
Responsibilities
- Own security for the cloud and bare-metal control planes customers' training runs depend on: hardening, identity, and workload isolation.
- Build guardrails as code: policies, scanning, and paved roads that make the secure path the fast path for engineers.
- Engineer detection and response across cloud infrastructure, from API abuse to compromised credentials to tenant escape.
- Secure the multi-tenant boundary where customer workloads, some of the most targeted in AI, share infrastructure.
Requirements
- You've secured production cloud or bare-metal infrastructure hands-on, not just audited it.
- You've shipped security tooling engineers actually adopted.
- You've found and fixed real isolation or privilege-escalation issues.
- You write production-quality code and treat policies as software.
- You've run incident response on infrastructure you helped build.
Nice to have
- Kubernetes and container security.
- Hardware root of trust and measured boot.
- eBPF-based detection.
- GPU and HPC environments.
Pay
Compensation range: $182,000 – $210,000.