MTS - Engineering (Security)
- Location
- San Francisco, CA (Remote) · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Listed
- 30 days ago
Skills & highlights for this role
- AWS IAM
- Kubernetes security
- gVisor
- Firecracker
- Kata Containers
- CloudTrail
- GuardDuty
- KMS
Also useful
- Python
- penetration testing
- SOC 2
About the Role
As a Member of Technical Staff - Engineering (Security), you will own security across Collinear's infrastructure, products, and customer data. We build RL environments and training data for frontier AI labs and large enterprises. They trust us with sensitive data and access to their systems, and many of our environments run AI agents that are being trained to find and exploit vulnerabilities.
This is a senior, hands-on role. You will work alongside our researchers and engineering team to set the direction for, and implement, new security measures.
What You'll Do
- 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 our cloud and Kubernetes environments, and tune alerts so the team acts on them
- Protect customer data from the moment it arrives to the moment we deliver, 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 our software supply chain, including dependencies, CI/CD, secrets, and our GitHub organization
- Set guardrails for engineers and coding agents that work directly against production infrastructure
- Test our systems the way an attacker would, and fix what you find
About You
- 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
From Collinear AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the MTS - Engineering (Security) job at Collinear AI located?
Yes, this MTS - Engineering (Security) opening at Collinear AI is listed as San Francisco, CA (Remote) (On-site). Always check Collinear AI's application page for specific state eligibility or relocation policies.
What qualifications are required for MTS - Engineering (Security) at Collinear AI?
For the MTS - Engineering (Security) role, Collinear AI highlights 8+ years of relevant experience; experience with AWS IAM, Kubernetes security, gVisor, Firecracker, Kata Containers, CloudTrail. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the MTS - Engineering (Security) position at Collinear AI?
This listing links directly to Collinear AI's Ashby application page. You can apply directly on Collinear AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.