Top Senior Cyber Security Jobs in Seattle, WA

Leads cybersecurity architecture for enterprise network and cloud environments. Responsibilities include threat modeling, assessing network configurations and perimeter-exposed systems, identifying security gaps, developing actionable mitigations, advising engineering teams, and prioritizing risk remediation. The role serves as a subject matter expert in network security, cloud security, segmentation, zero trust, and secure connectivity while validating AI-assisted security recommendations for resiliency, auditability, and data protection.

Leads enterprise network security architecture, engineering, and modernization across cloud and on-premises environments. Designs firewalls, WAF, DDoS protection, Azure connectivity, microsegmentation, Zero Trust, SASE, and SD-WAN solutions. Serves as a Level 3 incident escalation point, drives root-cause analysis and resilience improvements, establishes automation and DevSecOps standards, and mentors engineers. Partners with stakeholders and vendors to deliver secure, scalable network security platforms.

Leads and consolidates a centralized security architecture engineering organization supporting threat modeling, architecture automation, testing, quality, SRE, and DevOps platforms. Owns engineering strategy, technical architecture, capacity allocation, operating standards, delivery quality, production resilience, hiring, staffing, performance management, and career development. Partners with product leadership to prioritize investments, establish measurable outcomes, and align engineering resources with business value and risk reduction.

Leads enterprise email security strategy, architecture, engineering, modernization, and lifecycle management. Oversees phishing protection, threat detection, encryption, DLP, cloud security, incident response, risk remediation, governance, metrics, vendor relationships, and regulatory alignment. Partners with cross-functional stakeholders, presents to executives, leads engineering teams, and applies AI-enabled workflows to improve security analysis and operational effectiveness.

Architects and implements network security for hyperscale cloud and AI infrastructure, including firewalls, intrusion prevention, segmentation, zero trust, monitoring, and incident response. Secures GPU clusters, high-speed interconnects, and cloud services while collaborating with networking, infrastructure, DevOps, and software teams. The role also contributes to security policies, compliance controls, design reviews, automation, and security education across the organization.

Build and operate secure, resilient distributed systems for secrets and key management across Cloudflare’s global network. Re-architect internal PKI and machine or workload identity systems, participate in on-call incident response, support internal developers, and advise engineering teams on secure system design. The role requires software development, distributed systems expertise, Linux/UNIX administration, and hands-on security implementation experience.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

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.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Build and mature Headway’s infrastructure security program across AWS and application platforms. Partner with Product and Infrastructure teams on secure system design, security reviews, platform guardrails, vulnerability remediation, and continuous infrastructure improvement. Support incident response and security operations while advancing AI-native cloud security practices. The role requires strong technical depth, cross-functional collaboration, and the ability to establish secure-by-default engineering practices in an ambiguous, fast-paced environment.

Design, build, and operate scalable security data platforms and ingestion pipelines. Develop identity management features, troubleshoot distributed production systems, improve reliability and performance, analyze telemetry, and implement automated validation, staged deployments, CI/CD, and AI-assisted engineering practices. Collaborate with engineers, product managers, customers, and cross-functional teams to deliver secure, efficient, cloud-native services.

Architects and develops hardware and platform security for AI accelerators and cloud infrastructure. Responsibilities include threat modeling, secure silicon design, security infrastructure architecture, AI-assisted security analysis, and debugging issues across subsystems throughout product development, manufacturing, supply chain, and deployment. The role requires collaboration across security, platform, architecture, and infrastructure teams.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

Develops AI-enabled SOC automation, security tooling, data integrations, dashboards, detection engineering, and investigation workflows. Supports incident response and operational readiness across network, infrastructure, and physical security services. Partners with engineering, facilities, networking, and security teams to automate processes, troubleshoot issues, improve signal quality, and strengthen resilience. The role requires security engineering, programming, SIEM, networking, incident response, and security automation expertise.

Provides technical leadership for enterprise security engineering across endpoints, infrastructure, enterprise applications, and cloud environments. Designs and scales security platforms, automated workflows, endpoint protection, EDR, application controls, system hardening, posture management, and zero-trust capabilities across macOS, Windows, and Linux. Partners with engineering teams to reduce attack surfaces, improve threat detection and prevention, and deliver security-by-default solutions.

Design and guide security architecture for NVIDIA networking firmware and embedded subsystems. Responsibilities include threat modeling, analyzing firmware and hardware interactions, defining lifecycle security features, translating threats into requirements, partnering with hardware architects, and driving secure firmware development practices such as memory-safe C, static analysis, and fuzzing. The role requires expertise in firmware security, authorization models, cryptography, secure boot, attestation, and embedded systems.

Leads architecture and implementation of Microsoft Red Team visibility, telemetry, monitoring, detection, alerting, deconfliction, and operational security capabilities. Designs scalable services and data pipelines, maintains authoritative operational asset inventories, identifies systemic security gaps, and drives durable engineering solutions. Provides hands-on technical leadership, architecture reviews, debugging, incident response, mentorship, and cross-organizational influence while enabling authentic Red Team operations with strong defensive visibility and control.

Design and build reproducible enterprise security environments across Azure, AWS, GCP, on-premises, and third-party systems. Develop infrastructure automation, telemetry, identity integrations, AI agent interfaces, and isolated environments for reinforcement learning and security evaluation. Own platform capabilities from architecture through operations, troubleshoot cross-stack failures, collaborate with security researchers and AI engineers, and mentor other engineers.

Designs, operates, and improves network security controls across Microsoft’s global cloud and datacenter infrastructure. Responsibilities include investigating threats and intrusions, developing detections, maintaining security hardware and software, implementing automation and policy standards, responding to incidents, supporting on-call operations, and leading mitigation and postmortem improvements. The role also provides technical direction for firewalls, IDS/IPS, segmentation, VPN, DDoS protection, and other network defense technologies.

Designs, implements, and oversees security architectures for federal systems, including zero-trust and cloud environments. Leads secure system design, control integration, detection and response architecture, and alignment with NIST and FISMA requirements. Collaborates with SOC analysts, incident responders, engineers, and leadership to build resilient, scalable security operations environments.

Provides customer-facing cybersecurity expertise during presales engagements. Consults with CIOs, CISOs, security engineers, and procurement teams; educates sales teams; develops cybersecurity collateral, use cases, and service offerings; supports solution scoping and statements of work; and demonstrates security technologies including DLP, DSPM, DDR, and file encryption. The role requires strong cybersecurity knowledge, presales consulting experience, security framework familiarity, product expertise, and up to 20% travel.

Provides customer-facing presales cybersecurity expertise focused on OT and IoT environments. Advises executives, security teams, and procurement stakeholders; develops security services, sales collateral, use cases, system and network diagrams, and lab demonstrations. Educates sales teams, stays current on security technologies and trends, and supports consultative solution engagements involving industrial protocols, asset visibility, traffic analysis, segmentation, cloud security, and security frameworks.

Lead security reviews, code audits, penetration testing, vulnerability research, and mitigation efforts for Microsoft Windows services. Develop reusable security tools and agents, identify attack vectors and architectural risks, demonstrate exploit impact, and collaborate with product engineering teams to design scalable defenses and improve security investments.

Build a scalable AI security platform, foundational services, APIs, SDKs, and guardrails for AI-powered security agents. Design secure, reliable distributed systems incorporating identity, authentication, authorization, encryption, and data protection. Partner with security and engineering teams to deliver reusable platform capabilities, improve performance and developer experience, and shape the platform’s technical architecture. The role requires hands-on software engineering experience with AI platforms, cloud-native infrastructure, and large-scale systems.