обновлено 3 дня назад
Security Architect / Security Engineer (AI/Cloud Security)
164 500 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Architect / Security Engineer (AI/Cloud Security): Building production-grade security capabilities for agentic AI applications and cloud-native environments with an accent on secure agent runtimes, reference architectures, and AWS, Azure, and GCP controls. Focus on implementing AI security patterns, integrating IAM and workload protection, and leading incident response and remediation across AI systems and cloud platforms.
Location: Remote - USA
Base pay range: $164,500–$235,000 USD annually, excluding bonus, equity, commission, and benefits.
Company
provides the Zero Trust Exchange, a cloud security platform that protects users, devices, applications, and data across global infrastructure.
What you will do
- Build secure agent runtimes, reusable libraries, reference implementations, and validation pipelines for agentic AI applications.
- Implement secure agent patterns covering planner/executor flows, tool routing, structured outputs, memory and state controls, and RAG trust boundaries.
- Design and implement cloud security controls across AWS, Azure, and GCP, including IAM, workload protection, and logging.
- Embed secure-by-default cloud controls into shared services and developer workflows in partnership with platform and engineering teams.
- Lead incident response, investigation, triage, coordination, and remediation for cloud platforms and AI systems.
Requirements
- 7+ years of experience in security engineering, cloud security, application security, or platform security with direct implementation ownership.
- Strong coding skills and experience delivering production systems; Python, TypeScript, or Node preferred.
- Hands-on experience with agentic AI systems, including tool or function calling, multi-step planning, RAG, memory and state management, and orchestration.
- Strong experience with AWS, Azure, and/or GCP security, including IAM, logging and monitoring, workload protection, Kubernetes, and IaC security.
- Practical incident response experience using SIEM, SOAR, EDR, CSPM, or CNAPP tools.
- Foundational understanding of AI/ML technologies and experience securing or leveraging AI-driven solutions.
Nice to have
- Experience using AI workflows to improve operational efficiency.
- Familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and modern cloud security frameworks.
- Experience building red-team testing or evaluation harnesses for LLM applications and agentic systems.
- 10+ years of relevant security engineering, cloud security, application security, or platform security experience.
Culture & Benefits
- Inclusive environment focused on collaboration, ownership, trust through outcomes, and continuous feedback.
- Health plans, vacation and sick time, parental leave, retirement options, and education reimbursement.
- Additional in-office perks and benefits for employees and their families.
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