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Product Security Engineer – Cloud & AI Security at Fireblocks
FireblocksTel Aviv-Yafo, Tel Aviv District, Israel·4h ago
Mid LevelFull-timeRustRailsAWSGCPAzureKubernetesCI/CDGitAI
Salary Range
$79,560 - $107,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Security Engineer – Cloud & AI Security to join Fireblocks. This role involves securing multi-cloud infrastructure, embedding security into DevSecOps, and ensuring AI platforms and agentic integrations are built with enforceable security controls.
Key Responsibilities
- →Design, implement, and maintain security controls across multi-cloud infrastructures
- →Work closely with R&D teams to understand constraints and risks in Agentic AI and Infrastructure
- →Design and implement runtime AI security controls (guardrails, filters, policy engines, gateways)
- →Build protections for LLM inference, agent tool execution, MCP / plugin frameworks, and RAG pipelines
- →Implement prompt, input, and output inspection for abuse, jailbreaks, data leakage, and policy violations
- →Secure Infrastructure, CI/CD pipelines, and automation workflows by embedding DevSecOps best practices
- →Conduct security reviews of product features, new technologies, and ensure they meet security requirements
- →Secure Kubernetes clusters and containerized workloads in production environments
- →Evaluate AI attack vectors and implement effective mitigations
- →Collaborate with other security teams to resolve security issues and implement security improvements
- →Lead security projects and initiatives across Fireblocks environments to enhance the platform's security
Requirements
- ✓At least 3 years of experience with AWS, GCP, or Azure
- ✓Experience working with Agentic AI platforms such as Onyx, Noma, Cyata, Pilar, AKTO, or similar enterprise Agentic AI
- ✓Strong knowledge and experience with DevSecOps practices
- ✓In-depth knowledge of security best practices and technologies, including encryption, identity and access management, and network security
- ✓Experience with securing Kubernetes
- ✓Proficiency with cloud security tools such as CSPM, CWPP, CADR
- ✓Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- ✓Experience in leading security projects across complex multi-cloud architectures
- ✓Industry certifications, CISSP, AWS Certified Security Specialty, or AI security certifications
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