Senior Software Engineer - Security/Infrastructure

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

Overview

As the Senior SWE- Security Infrastructure, you’ll be responsible for protecting a system that handles highly sensitive workflows across AI training, expert networks, and enterprise integrations with leading model labs. This role is deeply technical. You’ll design and implement the infrastructure that keeps our systems resilient, rather than managing off-the-shelf security tools. We move fast and rely heavily on AI internally. You should be comfortable using LLMs to accelerate debugging, threat analysis, and system design and just as comfortable replacing repetitive work with code. Security here isn’t isolated. When you’re not working on security problems, you’ll be building core systems especially human-in-the-loop platforms and data infrastructure that power how frontier AI models are developed. We work in-person in San Francisco.

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

Required Qualifications

• You’ve built internal tools or systems to solve security problems—not just configured existing products
• Strong programming ability in Python, Go, or TypeScript
• Experience working with cloud environments (IAM, networking, containers)
• Ability to identify vulnerabilities directly in code and system design
• Experience creating or maintaining signal-based monitoring and alerting systems
• Comfortable owning production issues when they arise
• Able to move fluidly between security work and general engineering
• 2-7 years building software or security systems

Preferred Qualifications

• Background in fast-scaling startups or high-output engineering teams
• Exposure to AI systems, data pipelines, or model evaluation workflows
• Familiarity with offensive security techniques
• Experience building tools that other engineers depend on
• Evidence of building and shipping systems from zero to production