Information Security Engineer - Fireblocks

Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation. The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection. Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques. Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective. 4-5+ Years Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments. AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities. Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC). The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations. Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals. Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks. Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation. Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.

Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation. The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection. Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques. Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective. 4-5+ Years Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments. AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities. Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC). The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations. Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals. Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks. Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation. Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.

Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation. The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection. Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques. Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective. 4-5+ Years Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments. AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities. Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC). The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations. Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals. Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks. Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation. Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.