The opportunity
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams,…
What you'll do
Build security for large-scale AI clusters across multiple clouds and: bare-metal data centers, including IAM, network segmentation and encryption controls
Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity
Ship these controls as secure defaults using infrastructure as code and: GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries
Build visibility into network traffic and boundary drift, with detection for: exfiltration paths and automated remediation where it is safe to do so
Design secure-by-design development workflows and CI/CD pipelines across our: services, with expertise in Kubernetes security, container orchestration and identity management
Threat model and assess risk for complex multi cloud and networked: environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one
What they're looking for
- Mentor engineers and contribute to hiring and growth of the Security team
- Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
- Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
- Experience implementing and operating critical systems at scale using DevOps: and cloud automation practices such as infrastructure as code
