Cybersecurity Engineer

About 10a Labs

10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.

About the Role

We are seeking a Cybersecurity Engineer to build secure, reproducible infrastructure and tooling for AI security evaluations. You'll work across cloud infrastructure, security automation, internal tooling, and controlled offensive security testing to help identify and measure emerging AI-enabled cyber risks. This role is ideal for engineers who enjoy solving difficult technical problems, building scalable security solutions, and working alongside cross-functional teams at the forefront of AI security.

What You'll Do

• Build tools, automation, and infrastructure that support scalable adversarial testing of AI systems and applications.
• Build and maintain realistic, repeatable security test environments using cloud infrastructure and automation tools such as Terraform.
• Collaborate with red teamers and engineers to reproduce, investigate, and remediate vulnerabilities uncovered during AI security assessments.
• Develop and automate attack simulations to validate security controls, identify potential failure modes, and improve the resilience of AI-powered systems.
• Conduct threat modeling and security design reviews for new systems and features.
• Collaborate closely with software engineers to integrate security throughout the development lifecycle.

Required Qualifications

• 3–5 years of professional experience in Cybersecurity, Security Engineering, Software Engineering, or a related field.
• Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, or a closely related field.
• Professional experience with Python.
• Experience using Git/GitHub in a collaborative environment.
• Experience building or securing cloud environments using Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Strong understanding of Linux systems, networking, and modern web technologies.
• Experience automating cloud infrastructure using Infrastructure as Code tools, preferably Terraform.
• Familiarity with Docker, Kubernetes, and various virtualization technology stacks.
• Familiarity with large language models (LLMs), AI systems, or AI security concepts.
• Demonstrated hands-on experience conducting penetration tests, red team assessments, adversary emulation, or comparable offensive security work.
• Strong understanding of authentication, authorization, and common web security vulnerabilities.