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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and automating security testing environments for AI systems, with a strong focus on cloud infrastructure and adversarial testing methodologies. Proficient in Python and familiar with modern security practices, including penetration testing and vulnerability remediation.
Highest-signal resume keywords
CybersecurityPython ProgrammingCloud Infrastructure (AWS, GCP)Infrastructure as Code (Terraform)Penetration Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CybersecurityPython ProgrammingCloud Infrastructure (AWS)Cloud Infrastructure (GCP)Infrastructure as Code (Terraform)Linux SystemsNetworkingWeb Security VulnerabilitiesPenetration TestingAdversary Emulation
Soft Skills
Problem-SolvingCommunication
Tools & Technologies
GitGitHubDockerKubernetesVirtualization Technology Stacks
Industry Keywords
AI SecurityThreat ModelingSecurity Design ReviewsRed Team AssessmentsSecurity Controls
Tech Stack
Tools & technologiesAWSCloudCyber SecurityDockerGoogle Cloud PlatformKubernetesLinuxPythonTerraform
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
