Top Cybersecurity Jobs in Seattle, WA

Leads enterprise AI tooling and security engineering, designing scalable cloud platforms and secure AI applications. Responsibilities include protecting models, agents, prompts, data, APIs, and outputs; securing the AI/ML lifecycle; implementing identity, encryption, monitoring, threat detection, adversarial testing, and incident response; and establishing engineering standards. The role mentors engineers, influences architecture and technology strategy, and partners with governance, risk, compliance, and business teams to support responsible AI adoption.

Execute advanced red team and purple team operations across on-premises, cloud, SaaS, hybrid, and AI-enabled environments. Responsibilities include adversary emulation, exploitation, identity abuse, privilege escalation, lateral movement, persistence, command and control, data exfiltration, AI security testing, detection validation, tooling development, reporting, and remediation tracking. Collaborate with Blue Team, Detection Engineering, Threat Intelligence, and Incident Response to improve detection, response, and overall security posture.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Leads enterprise AI tooling and security strategy, building secure cloud-native platforms and protecting AI models, agents, prompts, data, APIs, and outputs. Designs controls for identity, access, encryption, monitoring, threat detection, adversarial testing, governance, and incident response. Provides distinguished technical leadership, mentors engineers, establishes engineering standards, and partners across architecture, security, governance, risk, compliance, and business teams.

Lead design, deployment, and scaling of enterprise DLP across cloud, endpoint, SaaS, and network with a focus on AI-driven automation. Build automated classification, remediation, and workflows, integrate DLP with SIEM/SOAR/identity/cloud, develop policies for regulatory compliance, mentor engineers, and present program insights to leadership.

Lead and own the enterprise SSPM program: implement and manage SSPM platform, onboard SaaS apps, tune controls, integrate with SIEM/SOAR/ITSM/identity, perform threat modeling and risk assessments, drive remediation, support compliance mapping, report metrics, and partner across cyber, IT, risk, and business teams to reduce data exposure and improve SaaS security posture.

Lead security assessments and integrations for mergers & acquisitions, develop risk-based mitigations, deploy security tools, support vulnerability remediation and pen testing, advise executives and stakeholders, and produce documentation and metrics across identity, cloud, endpoint, and monitoring domains.

Lead and scale the enterprise application security program, embed secure SDLC and DevSecOps practices, integrate SAST/DAST/SCA into CI/CD, run assessments and remediation, advise engineering on architecture and high-risk issues, build governance/metrics, represent AppSec for audits, and mentor application security engineers.

The Senior Technology Risk Analyst leads IT risk management, oversees control testing, mentors analysts, and ensures compliance with industry standards and frameworks.

Lead delivery of a centralized CIAM platform to consolidate authentication and identity verification across channels. Define roadmap for passwordless and risk-based authentication (passkeys, biometrics, device intelligence), embed AI-driven identity intelligence, drive OTP consolidation, ensure enterprise standards and governance, partner across Security, Fraud, Digital, and Technology, own delivery outcomes, adoption, and KPIs tied to fraud reduction and customer experience.