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Collinear AI

Simulated labs for enterprise AI testing

Member of Technical Staff - Engineering - Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • You have 8+ years of experience in security engineering, much of it securing cloud infrastructure in production.
  • You have deep hands-on experience with AWS security, including IAM, CloudTrail, GuardDuty, KMS, and VPC design.
  • You have an offensive security background, such as penetration testing, red teaming, or vulnerability research, and use it to decide what to defend first.
  • You have isolated untrusted workloads with containers or microVMs, using tools such as gVisor, Firecracker, or Kata Containers, and know where that isolation tends to fail.
  • You write production-quality code, ideally in Python, and prefer automation to manual process.
  • You have built or grown a security program at a startup, and know how to prioritize when you can't fix everything at once.
  • You explain risk clearly to engineers, leadership, and customers' security teams.

Responsibilities

  • Harden the sandboxes where AI agents run untrusted code, including cyber tasks where agents are actively trying to break out.
  • Own AWS security, including IAM design, least-privilege access, network boundaries, and short-lived credentials in place of long-lived keys.
  • Build detection and response across cloud and Kubernetes environments, and tune alerts so the team acts on them.
  • Protect customer data from the moment it arrives to the moment it is delivered, including access controls, secure delivery, and PII removal at terabyte scale.
  • Lead customer security reviews and compliance work, from security questionnaires and supplier onboarding to SOC 2.
  • Secure the software supply chain, including dependencies, CI/CD, secrets, and the GitHub organization.
  • Set guardrails for engineers and coding agents that work directly against production infrastructure.
  • Test systems as an attacker would and fix the issues found.

About the Company

Collinear AI

Simulated labs for enterprise AI testing

Collinear AI builds simulation labs where AI agents learn enterprise work before going to production. The labs provide realistic enterprise environments: enterprise APIs, users who push back and change their minds, tasks with real-world ambiguity, and verifiers that score what actually matters. This lets teams stress-test AI agents and continuously improve them after deployment. Collinear AI collaborates with frontier AI labs and large enterprise AI teams such as ServiceNow, IBM, HUMAIN, and Zoho. Their goal is to help organizations verify and improve AI agents in reproduceable, controlled settings before they are used in production.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Mountain View, CA
Founded
2023

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