Company
Engineering
SoftwareEngineer-Security/Infrastructure
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer - Security/Infrastructure. Skills: Security, Infrastructure, Programming, Cloud. Protect systems. Design infrastructure”
What You'll Achieve.
Keep systems resilient; Accelerate debugging; Accelerate threat analysis; Accelerate system design; Strengthen cloud environments; Strengthen production environments; Enforce access control; Avoid slowing shipping speed; Improve incident handling; Secure data flows; Secure model interaction; Impact customers; Impact model performance
Industry & Context.
Problem solving; Threat analysis; System design
Work in-person in San Francisco
What They're Looking For.
Must Have
Python, Go, TypeScript, GCP, AWS, IAM, networking, containers, vulnerabilities in code, system design, signal-based monitoring, alerting systems, production issues
Nice to Have
fast-scaling startups, high-output engineering teams, AI systems, data pipelines, model evaluation workflows, offensive security techniques, tools for engineers
What You'll Do.
Design infrastructure
Implement infrastructure
Respond to security events
Replace manual workflows
Strengthen environments
Design access control
Integrate security checks
Own incident handling
Develop human-in-the-loop systems
Contribute to infrastructure
Contribute to tooling
How You'll Work.
Team & Collaboration
Work with product team; Collaborate with internal teams; Collaborate with experts; Collaborate with customers
Full Job Description
SOFTWARE ENGINEER (SECURITY/INFRASTRUCTURE) — AFTERQUERY ABOUT THE ROLE 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. WHAT YOU’LL WORK ON - 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 Beyond security: - 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 WHAT WE’RE LOOKING FOR - 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,
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