8 дней назад
Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Engineer (AI): Securing multi-cloud infrastructure, multi-tenant SaaS, Kubernetes deployments, and the Hermes Agent platform with an accent on cloud security, agent isolation, identity controls, and SOC 2 readiness. Focus on hardening agentic AI systems, leading vulnerability management and incident response, and balancing secure software development controls with high engineering velocity.
Location: Remote
Company
builds open-source AI language models and agents, including Hermes Agent, for consumers and Fortune 500 enterprises across SaaS, dedicated VPC, self-hosted, and air-gapped environments.
What you will do
- Own production security across AWS, GCP, Azure, and Vercel.
- Secure multi-tenant SaaS, dedicated VPC, self-hosted Kubernetes, and air-gapped deployments.
- Protect the Hermes Agent platform through sandboxing, kernel-level file system and network isolation, agent identity, credential controls, egress controls, and trace integrity.
- Own SOC 2 technical controls, evidence collection, remediation, and ongoing readiness.
- Lead vulnerability management, penetration testing, incident response, cloud-native security monitoring, and secure software development controls.
- Support enterprise security reviews, architecture assessments, questionnaires, and penetration-testing requirements while partnering with engineering, infrastructure, product, FDE, and operations.
Requirements
- 8+ years of security engineering experience with deep hands-on infrastructure and multi-cloud security expertise.
- Experience securing production SaaS environments and owning security end-to-end at a fast-growing technology company.
- Strong Kubernetes, identity, and IAM fundamentals, including enterprise SSO, SAML, and SCIM.
- Experience implementing SOC 2 or ISO 27001 engineering programs.
- Strong understanding of vulnerability management, incident response, access controls, penetration testing, and secure software development.
- Interest in securing agentic AI systems and addressing agent identity, tool permissions, prompt injection, and data provenance risks.
Nice to have
- Experience supporting regulated customers, financial services organizations, or air-gapped deployments.
- Experience securing AI, machine learning, or open-source systems.
- Experience with cloud-native detection and response tooling.
- Familiarity with kernel-level sandboxing, network isolation, and agent security.
- Experience supporting Fortune 500 security reviews, architecture assessments, and penetration-testing requirements.
Culture & Benefits
- Remote, full-time role in an open-source-native engineering culture.
- Hands-on work across infrastructure, products, and enterprise deployments.
- Pragmatic security practices designed to maintain high development velocity.
Hiring process
- Apply by email with the role in the subject, a resume or CV, a cover letter, and a portfolio showcasing relevant work.
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