Top Cyber Security Jobs in Seattle, WA

Develop software, automation, deployment pipelines, threat intelligence systems, network-data ingestion tools, research labs, and continuous testing infrastructure supporting threat research and detection engineering. Work with network packet data to emulate adversary behavior, improve R&D efficiency, deploy enterprise software, and participate in code reviews. The role requires strong Python, software engineering, networking, and cybersecurity expertise.

Design and build high-scale distributed systems for securing AI agents and endpoints. Develop backend services, LLM integrations, tool-calling frameworks, MCP integrations, RAG pipelines, and enterprise applications. Lead architecture, code reviews, troubleshooting, performance improvements, and full software development lifecycle activities. Collaborate with product, UX, security, and infrastructure teams while mentoring engineers and improving development practices.

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.

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.

Lead enterprise security engineering across DLP, zero-trust networks, endpoint protection, SaaS posture management, email security, and network defense. Design secure architectures, baseline configurations, automation, threat signaling, and risk mitigation strategies. Administer security tools, conduct incident response and threat detection, analyze logs, and support digital forensics. Partner with IT, infrastructure, risk, compliance, and engineering teams while mentoring staff and establishing cybersecurity best practices.

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.

Conduct original security research with Microsoft Research mentors and fellow doctoral candidates. Investigate secure and trustworthy software and cloud services across systems security, confidential computing, formal verification, zero-knowledge proofs, data-driven security, and agentic security. Build or extend complex software, collaborate with researchers, present findings, and contribute to research and development during a 12-week internship.

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.

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.

Leads Salesforce’s product security engineering strategy, security governance, risk remediation, and cloud security architecture across customer-facing products and platforms. Partners with engineering and executive leadership to embed security controls into software development, manage technical security debt, and reduce systemic risk. Builds and scales inclusive security organizations while communicating security posture to executives, board members, customers, analysts, and auditors.

Design, review, and verify security for Cisco network devices across hardware, firmware, and software. Develop threat models, conduct architecture and code reviews, identify root weaknesses, create reusable security controls, and test implementations with reproducible evidence. Assess embedded and IoT device security using C/C++ review, Python tooling, CWE, MITRE EMB3D, and OWASP IoT frameworks. Collaborate globally with engineering teams, mentor others, prioritize risks, and potentially develop AI-enabled workflows, static-analysis rules, secure wrappers, and CI/CD guardrails.

Leads architecture and delivery of Salesforce’s cloud-native GRC platform, including policy-as-code, compliance-as-code, automated evidence collection, telemetry, alerting, and risk evaluation. Designs multi-cloud integrations, ensures secure engineering and CI/CD standards, evaluates human- and AI-generated code, and guides distributed feature teams. Partners with product, security, and GRC leaders to translate regulatory requirements into technical roadmaps. Mentors engineers and drives adoption of AI coding assistants and agent-enabled workflows.

Provides security architecture and advisory guidance for large-scale cloud and infrastructure initiatives. Conducts threat modeling, security design reviews, risk assessments, and vulnerability mitigation across application and infrastructure stacks. Partners with engineering and product teams to implement secure designs, improve secure development processes, and prioritize risk-based security initiatives. The role requires expertise in cloud security, identity and access management, networking, encryption, and security communication, with preferred experience in offensive security, Kubernetes, code analysis, and infrastructure security tooling.

Build and maintain security across the MeshMesh platform, including threat modeling, security reviews, vulnerability scanning, monitoring, remediation, system hardening, compliance support, and continuous control validation. The role partners with engineering teams to secure cloud-based distributed systems, application and infrastructure environments, and AI-assisted development workflows, including agent loops and tool use.

Design, build, and own security-focused modules for Walrus’s B2B payment verification platform, including payments, reputation, and authentication capabilities. Write and maintain production code while emphasizing bug prevention, testability, maintainability, data-driven product decisions, and thoughtful software design. Collaborate closely with an early-stage team to establish engineering standards, development practices, and a supportive workplace culture.

Leads a team of security engineers developing automation for vulnerability discovery, impact analysis, remediation, and scalable security testing. Responsibilities include building tools for native-code security research, devising systematic vulnerability detection methods, collaborating with product teams, and communicating the business value of security investments. The role requires strong OS security fundamentals, computer science expertise, C/C++ experience, and people management.

Designs and governs enterprise security architectures across applications, infrastructure, networks, endpoints, cloud environments, and sensitive data. Develops security standards, reference architectures, and secure design patterns; performs threat modeling and architecture reviews; defines security requirements; guides DevSecOps, cloud, infrastructure, and application teams; and supports security technology selection. The role requires federal security framework expertise, Zero Trust and identity architecture experience, and the ability to obtain Public Trust clearance.

Leads cybersecurity for water and wastewater OT infrastructure, including network security design, penetration testing, vulnerability audits, policy development, incident and disaster recovery planning, and security assessments. Manages project execution, mentors cybersecurity professionals, develops training, supports client relationships and business development, and oversees security deliverables for complex infrastructure projects.

Designs, deploys, maintains, and improves enterprise cybersecurity infrastructure across network, application, cloud, and on-premises environments. Responsibilities include operating firewalls and defensive platforms, managing SASE/ZTNA and SD-WAN implementations, conducting vulnerability and threat analysis, supporting incident response, maintaining secure baselines, automating operational tasks, integrating intrusion detection telemetry, collaborating with SOC and network teams, and contributing to security architecture and roadmap decisions.

Designs, deploys, and improves information security solutions. Responsibilities include vulnerability scanning, penetration testing, risk assessments, network and system monitoring, incident investigation and response, firewall and encryption implementation, security control assessments, compliance reviews, policy development, technical documentation, and staff security guidance.

Designs, implements, and operationalizes AI security and GenAI data protection controls across enterprise AI usage. Engineers AI Gateway policies, detection logic, monitoring, coaching, redaction, quarantine, and blocking capabilities. Integrates telemetry with SIEM, SOAR, ITSM, identity, and data protection platforms. Assesses risks involving AI agents, MCP, APIs, non-human identities, and third-party integrations while improving control effectiveness, documenting standards, supporting audits, and partnering with technical and business teams.

Designs, builds, and operates cloud-native DFIR tooling, automation, integrations, data pipelines, CI/CD infrastructure, and engagement environments. Maintains security controls, observability, patching, vulnerability management, and operational reliability. Participates in incident response, on-call support, post-incident reviews, documentation, and collaboration with IT, DevOps, product, and detection engineering teams.

Implements, migrates, supports, and provides design assistance for enterprise network security solutions. The role serves as a technical SME for firewall platforms, performs network assessments, executes complex firewall and SD-WAN migrations, troubleshoots hybrid environments, develops technical documentation, and leads client-facing technical discussions. It also provides mentorship, knowledge transfer, and project collaboration across on-premises and cloud networking environments.

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.

Lead Uber’s security strategy and engineering for AI systems, including LLMs, agents, and AI-driven infrastructure. Design and ship secure, scalable systems; establish architecture for identity, access, monitoring, threat detection, data protection, and zero trust; investigate incidents; influence company-wide engineering practices; mentor senior engineers; and partner with security, infrastructure, product, and AI/ML leaders. The role requires 10+ years of software engineering experience and deep cybersecurity expertise.