5 дней назад
Application Security Engineer (AI)
145 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Application Security Engineer (AI) (Secure SDLC and Healthcare): Protecting AI-driven healthcare products by integrating application security into the software development lifecycle with an accent on vulnerability remediation, secure code review, and AI security threats. Focus on threat modeling, SAST/DAST/SCA testing, penetration testing, and translating security and privacy requirements into technical controls.
Location: Hybrid, requiring three days per week in the San Francisco office
Salary: $145,000–$180,000 per year, plus bonus and equity
Company
is a publicly traded medical technology company developing AI-driven, non-invasive solutions for diagnosing and managing coronary artery disease.
What you will do
- Partner with software engineers throughout the vulnerability remediation lifecycle, including secure code reviews, false-positive validation, remediation guidance, and threat modeling.
- Drive vulnerability identification with SAST, DAST, SCA, in-house AI tooling, and external penetration testing.
- Support vulnerability management by assessing risk, improving detection, and translating security and privacy requirements into technical requirements.
- Build security awareness through training on secure coding practices, security standards, and current threats.
Requirements
- 5+ years of total experience, including at least 1 year in application security or security-focused development.
- Experience contributing to secure SDLC activities such as threat modeling, code review, security testing, and vulnerability management.
- Programming experience in at least one modern language and one scripting language; experience with C++ or Python, testing frameworks, and CI/CD pipelines is relevant.
- Experience using AI development tools such as Claude Code and GitHub Copilot for development and security testing.
- Knowledge of current security threats affecting machine learning and generative AI.
- A degree in computer science or a related field, relevant certifications, or equivalent experience.
Nice to have
- Healthcare security knowledge, including HIPAA and HITRUST, and experience with regulated environments or Software as a Medical Device.
- Familiarity with AWS or equivalent cloud providers, Terraform, Chef, Ansible, Docker, Kubernetes, and GitHub Actions.
Culture & Benefits
- Work on AI-driven healthcare products designed to improve patient outcomes.
- Collaborate with engineering teams on complex technical and security challenges.
- Compensation includes base salary, bonus, and equity.
- maintains an inclusive, respectful, and equal-opportunity work environment.
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