Senior Security Infrastructure Engineer — Private AI Cloud

Aionia Group; Reston (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

Aionia Group is seeking a Senior Security Infrastructure Engineer in Reston, VA, to design and implement core security controls for sensitive AI cloud environments. The ideal candidate will have strong experience securing infrastructure at the systems level and prefers building systems over managing security tools. Responsibilities include implementing security across compute and networking layers, automation with IaC, and collaborating with engineering teams to ensure secure designs. Join a team passionate about secure foundations for advanced AI infrastructure.

Qualifications

• 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.

Responsibilities

• Implement security controls across core infrastructure.
• Secure containerized and distributed environments.
• Support secure infrastructure automation.
• Support secure secrets management and key lifecycle controls.
• Partner with teams for threat modeling and resilience planning.
• Collaborate across engineering teams.

Skills

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

Job description

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.

Building Secure Foundations for Advanced AI

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."

What You’ll Do

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.

What They’re Looking For

Ideal Profile — Must-Have

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.

Technical Domain

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

About the Opportunity

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.