Senior Security Infrastructure Engineer — Private AI Cloud

Senior Security Infrastructure Engineer

Design, implement, and harden the core security controls behind a private AI cloud environment supporting sensitive research, large-scale compute, and internal platform services. Close to architecture — not managing tools from a distance.

We are partnering with a confidential AI research organization building advanced machine learning systems on highly secure, private infrastructure. This role sits close to architecture and platform engineering — ideal for someone who enjoys building secure infrastructure rather than managing security tools from a distance.

"This is for engineers who secure infrastructure at the systems level — not policy writers or tool administrators."

Implement Security Controls Across Core Infrastructure

Partner with architecture and platform teams to build and enforce security controls across compute, networking, storage, and identity layers.

Secure containerized and distributed environments — cluster isolation, workload security, host hardening, and least-privilege access.

Support Secure Infrastructure Automation

Work with IaC and deployment pipelines to ensure infrastructure is reproducible, immutable, and aligned with security standards.

Support secure secrets management, key lifecycle controls, and integrations with HSMs, KMS platforms, or internal equivalents.

Threat Modeling & Resilience Planning

Partner with teams to identify failure points, model adversarial scenarios, and improve containment and recovery capabilities.

Collaborate Across Engineering

Work closely with platform, systems, and security teams to ensure secure design choices are practical and scalable.

Experience securing infrastructure at the systems level, not just policy or compliance.

Prefers building systems rather than managing tooling from a distance.

Able to move fluidly between engineering and security contexts.

Thinks carefully about resilience, containment, and real-world operation.

Motivated by building secure foundations for advanced AI infrastructure.

Strong candidates typically bring experience in several of the following:

• Linux systems administration and security
• Kubernetes and container security
• Cloud or private infrastructure environments
• Identity, secrets, and access control systems
• Network segmentation and service-to-service security
• Scripting or development in Go, Python, Rust, or similar

This role is with a confidential AI research organization building secure, high-performance infrastructure for next-generation machine learning systems. You’ll work alongside senior engineers across infrastructure, platform, and security in an environment that values depth, ownership, and execution.