Senior Security Infrastructure Engineer - AI Systems

Reinforced Learning; Town of Tonawanda (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

Reinforced Learning is seeking a Senior SWE- Security Infrastructure to protect highly sensitive AI training and enterprise workflows. You will design resilient infrastructure, replace repetitive tasks with code, and integrate security into fast-moving development cycles.

The role blends security practice with core engineering of human-in-the-loop data systems across a frontier AI stack. You’ll work hands-on to build production-grade monitoring, threat analysis tools, and scalable security

Qualifications

• You’ve built internal tools or systems to solve security problems—not just configured existing products.
• 2-7 years building software or security systems.
• Experience working with cloud environments (IAM, networking, containers).
• Experience creating or maintaining signal-based monitoring and alerting systems.
• Comfortable owning production issues when they arise; able to move between security and general engineering.

Responsibilities

• Build systems that identify and respond to real security events across our stack.
• Replace manual security workflows with programmatic, scalable solutions.
• Strengthen our cloud and production environments (GCP/AWS, containers, networking).
• Design and enforce access control systems across internal teams, experts, and customers.
• Integrate security checks directly into development workflows without slowing shipping speed.
• Own incident handling systems and processes from detection through resolution.
• Secure surfaces unique to AI systems, including data flows and model interaction layers.
• Develop human-in-the-loop systems used in AI training and evaluation.
• Contribute to core infrastructure and internal tooling used across the company.
• Ship features across the stack that directly impact customers and model performance.

Skills

Python

Go

TypeScript

Threat modeling

Incident response

Cloud security

Security tooling

Tools

GCP

AWS

Containers

Job description

Reinforced Learning is seeking a Senior SWE- Security Infrastructure to protect highly sensitive AI training and enterprise workflows. You will design resilient infrastructure, replace repetitive tasks with code, and integrate security into fast-moving development cycles.

The role blends security practice with core engineering of human-in-the-loop data systems across a frontier AI stack. You’ll work hands-on to build production-grade monitoring, threat analysis tools, and scalable security