4 дня назад
Senior Product Security Engineer (AI)
148 000 - 247 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Security Engineer (AI): Building product security for Chainalysis SaaS offerings with an accent on application security, penetration testing, threat modeling, and secure AI platforms. Focus on securing AWS and Kubernetes environments, automating controls in CI/CD pipelines, and designing guardrails for LLM gateways and coding agents.
Location: Hybrid role based in the New York Office or Connecticut, Massachusetts, New Hampshire, New Jersey, or Pennsylvania
Salary: $148,000–$247,000 for Tier 1 or $130,000–$217,000 for Tier 2, plus equity and bonus opportunities.
Company
provides blockchain data, analytics, and AI-powered solutions that help governments, banks, and crypto exchanges investigate financial crime, manage risk, and use digital assets safely.
What you will do
- Build product security across SaaS offerings in partnership with product and platform engineering.
- Lead security code reviews, penetration tests, threat modeling, and secure design reviews for new products.
- Secure internal AI platforms and coding agents through LLM gateways, prompt and response controls, and agent permissioning.
- Identify and remediate vulnerabilities through static and dynamic code analysis across the SDLC.
- Build security automation into CI/CD pipelines and contribute fixes directly to product repositories.
- Participate in a shared on-call rotation for high-severity production security incidents.
Requirements
- 5+ years of application security engineering experience.
- Strong production coding ability in Java, TypeScript/JavaScript, Python, or Go.
- Hands-on penetration testing of production SaaS applications and experience addressing OWASP Top 10 vulnerabilities.
- Experience building security automation into CI/CD pipelines.
- Experience securing internal AI or LLM platforms and coding agents.
- Knowledge of cloud and container environments, including AWS, GCP, and Kubernetes.
Nice to have
- Experience with Web3, blockchain, or digital assets.
- Experience building AI workflows, agents, and guardrails.
- Experience with Terraform, Wiz, SonarCloud, Burp, Cloudflare, GitHub Actions, and Artifactory.
Culture & Benefits
- Equity and bonus opportunities are available.
- AI is integrated into product development and day-to-day working practices.
- Work includes collaboration across product, platform engineering, and R&D InfoSec.
- The organization supports diversity, inclusion, and accessibility throughout the interview process.
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