2 часа назад
Cybersecurity Application Security Engineer (AI/LLM)
90 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cybersecurity Application Security Engineer (AI/LLM): Protecting applications, services, and AI-driven components through secure code review, security testing, automation, and secure SDLC practices with an accent on application security, CI/CD integration, and AI/LLM threat modeling. Focus on identifying prompt injection, insecure output handling, model-data leakage, and RAG vulnerabilities while building automated security tooling and communicating risks to engineering and management.
Location: Centennial, Colorado; hybrid work with in-office presence three days per week for associates living within 30 miles of an office location. US citizenship and existing authorization to work in the United States are required.
Salary: $90,000–$125,000 annually, depending on experience.
Company
is a diversified services company operating across student lending, payments processing, renewable energy, and K–12 and higher education.
What you will do
- Perform manual source code reviews and SAST/DAST security scanning.
- Integrate security tooling and automated checks into CI/CD pipelines.
- Develop automated source code review processes and custom security tooling.
- Expand the Security Champions program and help product teams implement secure SDLC practices.
- Assess application, web, mobile, container, secrets, and AI-related vulnerabilities.
- Prepare detailed vulnerability reports and communicate risk and urgency to business, management, and engineering stakeholders.
Requirements
- 2–4 years of hands-on application security experience.
- Strong manual code review experience in at least one major language, such as Java, JavaScript/TypeScript, C#, or PHP.
- Experience with SAST, SCA, DAST, web and mobile penetration testing, container scanners, and secrets-detection tools.
- Experience integrating security tooling and automated checks into CI/CD pipelines, with scripting skills in Python, Bash, or Node.
- Threat-modeling expertise using STRIDE, attack trees, or misuse cases for traditional and AI/LLM-integrated systems.
- Knowledge of web/API security, secure SDLC practices, OWASP Top 10, and AI/LLM attack surfaces including prompt injection, insecure output handling, model-data leakage, and RAG vulnerabilities.
Nice to have
- Experience building internal developer tooling or conducting secure code reviews.
- Experience with AI/LLM-integrated applications, model security, or prompt safety.
- Mobile security, reverse engineering, or platform-specific secure coding experience.
- Certifications such as OSWE, OSCP, GWAPT, GCSA, GCPN, or an ML security certification.
- Experience mentoring junior developers or engineers in secure design and coding practices.
Culture & Benefits
- Hybrid work environment supporting flexibility and regular in-office collaboration.
- Medical, dental, vision, HSA, and FSA benefits.
- Earned time off, life and disability insurance, and an employee assistance program.
- 401(k), student loan repayment, employee stock purchase program, and tuition reimbursement.
- Performance-based incentive pay and wellness program.
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