Senior Detection & Resilience Engineer — Private AI Infrastructure

Aionia Group; Ashburn (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

Aionia Group in Ashburn, Virginia is looking for a Senior Detection & Resilience Engineer to design and implement systems that monitor, detect, and respond to threats in a high-performance AI compute environment. Responsibilities include building security telemetry systems, adversary simulation, incident response engineering, and resilience planning. Candidates should have a strong technical background in security detection engineering and infrastructure observability. This role offers opportunities to work on cutting-edge AI systems in a highly collaborative environment.

Qualifications

• Enjoys understanding how systems behave under stress and adversarial conditions.
• Cares deeply about detection, containment, and recovery — not just alerting.
• Works effectively with infrastructure engineers in a collaborative, fast-moving environment.

Responsibilities

• Design and implement logging, monitoring, and signal collection across distributed infrastructure.
• Create detection mechanisms that identify suspicious activity using behavioral analysis.
• Partner with teams to simulate attack scenarios and validate detection systems.
• Build tools and workflows that enable fast investigation and response.
• Design systems for rapid containment, isolation, and recovery during compromise.

Skills

Infrastructure monitoring and observability platforms

Security detection engineering

Linux systems and distributed infrastructure

Kubernetes and container telemetry

Log pipelines and large-scale telemetry processing

Programming in Go

Programming in Python

Programming in Rust

Job description

Senior Detection & Resilience Engineer

Not an alerting role — a systems‑building role. Design and implement the telemetry, detection, and recovery systems that monitor and protect a high-performance AI compute environment at the intersection of security engineering, infrastructure observability, and incident response automation.

Detection, Containment, Recovery — At AI Scale

We are working with a confidential AI research organization building advanced machine learning systems on highly secure private infrastructure. They are hiring a Senior Detection & Resilience Engineer to design and implement systems that monitor, detect, and respond to threats within a high-performance AI compute environment.

“The goal is not simply alerting — it’s building systems that detect anomalies quickly and recover safely from compromise scenarios.”

Responsibilities

What You’ll Do

Build Security Telemetry Systems

Design and implement logging, monitoring, and signal collection across distributed infrastructure — compute clusters, orchestration layers, and networking systems.

Create detection mechanisms that identify suspicious activity using behavioral analysis and anomaly detection techniques.

Adversary Simulation & Testing

Partner with teams to simulate attack scenarios and validate detection systems against real-world attacker behavior.

Incident Response Engineering

Build tools and workflows that enable fast investigation and response with minimal disruption to production systems.

Resilience & Recovery Systems

Design systems for rapid containment, isolation, and recovery during compromise or failure scenarios.

Work closely with platform, security, and infrastructure teams to ensure full visibility across the environment.

Requirements

What They’re Looking For

Ideal Profile — Must-Have

Enjoys understanding how systems behave under stress and adversarial conditions

Thinks about attacker movement across infrastructure, not just perimeter defense

Cares deeply about detection, containment, and recovery — not just alerting

Prefers building systems rather than monitoring dashboards

Works effectively with infrastructure engineers in a collaborative, fast-moving environment

Technical Background

Strong candidates typically bring experience in several of the following:

• Infrastructure monitoring and observability platforms
• Security detection engineering
• Linux systems and distributed infrastructure
• Kubernetes and container telemetry
• Log pipelines and large-scale telemetry processing
• Programming in Go, Python, Rust, or similar languages
• Adversarial thinking or threat modeling (a plus)

About the Opportunity

This role is with a confidential AI research organization building secure, high-performance infrastructure for next-generation machine learning systems. You will work alongside engineers in distributed systems, infrastructure security, and applied machine learning.