Top Cyber Security Jobs in Seattle, WA

Lead the architecture and implementation of hardware Root of Trust solutions for NVIDIA SoCs and GPUs. Collaborate across hardware, software, research, marketing, customers, and partners to define security roadmaps, review architecture and verification specifications, address threats, and ensure platform security requirements. Responsibilities include secure boot, cryptography, CPU security, physical attack mitigations, remote attestation, DRM, threat modeling, penetration testing, and certification compliance.

Build and automate security infrastructure across AWS and Kubernetes, including cryptographic material lifecycle, telemetry pipelines, policy-as-code, compliance monitoring, and incident-response tooling. Develop agentic AI workflows using coding assistants, MCP integrations, and custom harnesses. Apply threat modeling and secure architecture review while partnering with engineering, risk, auditors, vendors, and clients. The role emphasizes production software, cloud-native automation, continuous control monitoring, and eliminating manual security toil.

Build and operate a reliable security platform across hundreds of AWS environments. Responsibilities include security telemetry and OpenSearch infrastructure, GitOps deployments, Kubernetes and AWS security controls, cross-account and multi-region architecture, Python automation, and agentic AI workflows. The role participates in on-call support, security incident enablement, audit evidence automation, and reliability improvements while collaborating with Security Operations, Risk, and SRE teams.

Conduct vulnerability research across operating systems, cloud platforms, and virtualization technologies through design and code review, fuzzing, variant analysis, and reverse engineering. Develop platform mitigations, security tooling, detection capabilities, and systemic protections. Partner with engineering teams to improve secure development practices, lead complex security initiatives, track emerging attack techniques, and mentor peers.

Build and operate a scalable AI security platform, including infrastructure, APIs, SDKs, distributed systems, and security primitives. Design identity, authentication, authorization, encryption, data protection, and AI-agent safety controls. Partner with security and engineering teams to create reusable platform capabilities, improve reliability and developer experience, and shape the architecture of Robinhood’s AI Security platform.

Build and maintain security controls for live cloud systems, including cloud infrastructure, container platforms, access management, and infrastructure-as-code. Embed secure development practices into product and platform engineering, advise on secure system designs, support compliance audits, and write and deploy security tools and infrastructure. The role also contributes to security strategy, hiring, and potentially future team leadership, with a focus on application security and AI-related threats.

Secure Windows products and devices through offensive security research, code and design reviews, penetration testing, vulnerability discovery, fuzzing, and mitigation development. Build reusable security review tools, identify vulnerabilities in operating system features and native applications, collaborate with Windows engineering teams on durable defenses, engage security researchers, and communicate the business value of security investments.

Build and operate security platforms, developer tooling, and AI-powered automation protecting Uber’s software supply chain. Develop secure build and dependency controls, application security tooling, automated offensive testing, and adversarial AI testing for agents and LLM applications. Lead threat modeling, architecture, production engineering, technical strategy, cross-team initiatives, and mentoring while improving security coverage, remediation, developer adoption, and risk reduction.

Build backend services, data pipelines, detection features, and AI agents for email security. Integrate machine learning and large language models into investigation workflows, evaluate attack detection accuracy, improve reliability and performance, and own features from design through production release. Collaborate with ML engineers, data scientists, and software engineers while contributing tested code, technical designs, and code reviews.

Design and implement infrastructure security for AWS, Kubernetes, identity, networks, workloads, and CI/CD. Build agentic security tooling, lead detection and incident response, enforce least privilege, conduct architecture reviews, automate vulnerability and compliance monitoring, and guide teams toward secure designs. The role also investigates cloud security events, hardens infrastructure, creates audit evidence, and communicates technical risks to non-technical partners.

Executes end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develops offensive tooling, implants, and evasion tradecraft; operates and improves AI-driven security agents; discovers and exploits vulnerabilities; and communicates findings to customers and internal security teams. The role also contributes to operational playbooks, product hardening, detection improvements, and scalable offensive security practices.

Leads the university’s information security architecture and engineering strategy, including cloud, network, endpoint, application, data, identity, and AI security. Establishes zero trust, DevSecOps, infrastructure-as-code, and security-as-code practices; oversees architecture, technology selection, compliance alignment, automation, and AI security initiatives. Builds roadmaps, secures funding, manages strategic initiatives, and leads, recruits, mentors, and develops security architects, engineers, and managers while advising executive leadership.

Lead the design and implementation of Aalyria’s security platform, including identity, authentication, authorization, PKI, workload identity, secrets, key management, audit evidence, and security standards. Build systems that operate securely in commercial, government, classified, and disconnected environments. Set technical direction across teams, mentor engineers, threat-model distributed systems, and operate production services through upgrades, maintenance, and incidents.

Designs, implements, and maintains enterprise security solutions across networks, endpoints, email, identity, and data protection. Responsibilities include firewall and VPN management, threat detection, incident response, vulnerability management, security audits, penetration testing, SOC 2 compliance, phishing response, SIEM monitoring, threat hunting, and security assessments. The role also supports Azure security, third-party risk questionnaires, technical design reviews, and off-hours security operations.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Owns Blueberry’s day-to-day security operations, including vulnerability management and remediation across GCP and Python/Django applications. Maintains detection, logging, monitoring, incident readiness, backups, endpoint security, network controls, access management, and IT administration. The role requires production Python experience, Linux administration, cloud experience, and hands-on familiarity with security tools and controls.

Designs and implements security controls for backend services and multi-cloud infrastructure. Conducts security reviews, remediates vulnerabilities and misconfigurations, secures CI/CD pipelines, and embeds secure design practices across engineering teams. The role also supports responsible AI and LLM adoption, mentors junior engineers, and champions security and privacy.

Build and operate secure, reliable Azure GPU infrastructure for distributed AI training and reinforcement-learning workloads. Develop fleet-level automation, infrastructure-as-code, remediation, drift detection, and deployment tooling. Troubleshoot multi-node, multi-GPU, networking, performance, and reliability issues while translating ambiguous research needs into production solutions. Partner with engineers, researchers, and stakeholders on architecture, security, and delivery decisions, and contribute through code reviews, technical collaboration, and mentoring.

Provides technical leadership for enterprise security architecture, platforms, and controls across endpoints, infrastructure, applications, and cloud environments. Responsibilities include developing security strategy and roadmaps; implementing endpoint, EDR, zero-trust, application, and infrastructure protections; building scalable security services and automated workflows; and partnering across engineering teams to improve security posture, resilience, and operational excellence.

Leads enterprise AI security and GenAI data protection, owning the AI Gateway from evaluation through deployment and operations. Designs monitoring, coaching, redaction, quarantine, and blocking controls for prompts, uploads, browser traffic, copilots, agents, and integrations. Integrates telemetry with security and identity platforms, establishes governance and exception processes, measures control effectiveness, and supports audit and regulatory readiness while enabling responsible AI adoption.

Lead Buffer’s security strategy and execution as a hands-on security engineer. Responsibilities include application and API security, secure development practices, AI threat modeling, incident leadership, vulnerability disclosure, SOC 2 and customer compliance, security automation, and infrastructure risk assessment. The role partners closely with engineering and business teams, writes and reviews code, supports on-call operations, and establishes security standards in a distributed SaaS environment.

Provides technical leadership for cybersecurity engineering on AWACS aircraft and ground-system modernization programs. Responsibilities include secure network and communications architecture, RMF compliance, ATO/IATT and POA&M development, cyber risk assessments, avionics and mission-system integration, TEMPEST compliance, security requirements, and design reviews. The role supervises personnel and collaborates with systems, software, avionics, and test engineering teams. Active Secret clearance and significant military aviation cybersecurity experience are required, with 25–35% domestic and international travel.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Lead and mature Plenful’s company-wide security program across application, cloud, infrastructure, security operations, incident response, compliance, and customer trust. Manage a small team, establish security roadmaps and controls, partner with engineers on vulnerability remediation and secure development, strengthen AWS and AI/ML security, oversee SOC 2, HIPAA, and HITRUST initiatives, and communicate security risks to executives, customers, auditors, and cross-functional stakeholders.

Conduct security design reviews, threat modeling, penetration testing, and adversarial assessments of services, applications, APIs, infrastructure, mobile platforms, and AI agents. Build AI-powered automation to scale security assessments, identify complex attack paths, and improve security controls. Collaborate with engineering and security teams to address systemic weaknesses, evaluate cloud-native architectures, and communicate actionable findings across technical and non-technical stakeholders.