Cybersecurity Engineer

🕒 July 29

🇺🇸 United States – Remote

💵 $135k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 16%

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Logo of 10a Labs

10a Labs

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

10a Labs is an applied research and technology company specializing in AI security. It delivers intelligence collection, investigative research, and analysis for AI unicorns, Fortune 10 companies, and U. S. tech leaders. The company provides services that empower security teams and technology leaders to stay ahead of evolving threats, drive innovation, and protect their brands. Their work includes stress-testing AI models against threats, developing real-time threat detection systems, and monitoring cyber threats to enhance AI safety and security throughout the product development lifecycle.

📋 Description

• 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.

🎯 Requirements

• 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 topic. • 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 an Infrastructure as Code tool (Terraform preferred). • 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. • Excellent debugging and problem-solving skills. • Strong written and verbal communication skills.

🏖️ Benefits

• Performance-based annual bonus • Support for conferences, continuing education, or leadership training • Comprehensive health, dental, and vision coverage • Generous PTO and paid holiday schedule • 401(k) plan

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