Senior Security Infrastructure Engineer | Private AI Cloud | Virginia – AIONIA
Security Infrastructure · Private AI Cloud · Reston / Herndon, VA

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.

$180K – $240K + Equity On-Site · Reston / Herndon, VA Confidential Client Full-Time NDA May Be Required
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The Opportunity

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.”
Responsibilities

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.

Harden Kubernetes & Linux-Based Systems

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.

Improve Secrets & Key Handling

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.

Requirements

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 Background

Strong candidates typically bring experience in several of the following:

  • Linux systems administration and security
  • Kubernetes and container security
  • Infrastructure-as-Code — Terraform, Pulumi
  • 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
Tech & Tools

Technical Domain

Linux Kubernetes Terraform Pulumi HSMs / KMS Zero Trust Go Python Rust
The Organization

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.

Confidential Search

Only shortlisted candidates will be contacted. Selected applicants may be asked to sign an NDA prior to the interview process. This search is conducted exclusively by AIONIA on behalf of the client.