Company

Engineering

SoftwareEngineer-Security/Infrastructure

$200–350k San Francisco, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Engineering
Problems you'll solve

Problem solving; Threat analysis; System design

Eligibility Requirements

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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