Top Remote Cyber Security Jobs in Seattle, WA

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.

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.

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.

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.

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.

Lead DigitalOcean’s AI security strategy, governance framework, threat modeling, and multi-year roadmap. Partner with security, engineering, and data science teams to secure AI products, deploy guardrails, conduct adversarial testing and red teaming, and monitor AI/ML systems. Provide architectural reviews, executive risk briefings, and guidance on emerging threats including prompt injection, model supply-chain risks, agentic AI, and data exfiltration.

Lead cryptographic security assessments of protocols, libraries, applications, and high-assurance systems. Analyze advanced cryptographic constructions, identify design and implementation weaknesses, validate exploitability, and recommend remediation. Build testing and analysis tools, manage client delivery, write precise technical reports, mentor engineers, contribute to methodologies and services, and support open-source research and technical publications.

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.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, guide security monitoring and incident response, translate complex objectives into engineering requirements, and mentor engineers through code and design reviews.

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 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.

Leads technical security engagements involving presentations, demonstrations, workshops, architecture design, and production-ready pilots. Designs and proves Microsoft and third-party cloud security, compliance, privacy, XDR, zero trust, and data protection solutions. Collaborates with sales, consulting, and partner teams, resolves technical and competitive blockers, influences strategy, and guides customer implementations. The role requires strong technical pre-sales or consulting experience and expertise in cloud, hybrid, and on-premises infrastructure.

Lead enterprise security architecture across cloud, application, infrastructure, identity, data, and third-party environments. Develop security principles, standards, patterns, and controls; review designs; conduct threat modeling and risk assessments; guide secure-by-design implementations; and advise technical and business stakeholders. The role also supports regulatory compliance, evaluates security technologies, and strengthens organizational security practices.

Leads cybersecurity and site reliability engineering for manufacturing and test infrastructure. Designs secure networks, firewall policies, segmentation, access controls, and Zero Trust architectures; manages Fortinet, Arista, VMware, server, and SAN environments; supports vulnerability management, incident response, compliance, disaster recovery, monitoring, and production troubleshooting. Provides technical leadership, mentoring, documentation, automation, and stakeholder support across global manufacturing and engineering teams.

Lead end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational security environments. Develop offensive tooling, implants, and AI-driven autonomous agents for reconnaissance, exploitation, and post-exploitation. Serve as a technical lead for customer engagements, brief security executives, collaborate with blue teams and threat intelligence organizations, establish operational standards, and mentor senior operators.

Build and scale backend security platform services, including authentication, authorization, identity infrastructure, permission systems, and data models. Lead cross-team technical initiatives, standardize security solutions, collaborate with compliance and mission stakeholders, and influence architecture and engineering standards. The role requires strong system design, backend development, security expertise, technical leadership, and the ability to operate in sensitive environments.

Leads secure enterprise architecture design and GitLab Professional Services implementations across application security, cloud security, DevSecOps, identity, vulnerability management, and compliance. Guides SaaS, Self-Managed, and Dedicated deployment decisions; leads CI/CD, source control, and security-tool migrations; conducts risk assessments and threat modeling; supports pre-sales scoping and statements of work; coordinates cross-functional delivery; mentors consultants; and develops security enablement materials.

Designs and delivers enterprise security solutions, including micro-segmentation and security platform deployments. Leads product installation, integration, configuration, optimization, and automation across diverse customer environments. Provides advanced professional services, customer training, and post-sales support while coordinating with cross-functional teams. The role requires expertise in web and API security, bot mitigation, DNS, SIEM integrations, DDoS protection, observability, CI/CD security, compliance standards, and AI application security.

Provides technical leadership for enterprise AI security, designing secure AI platform architectures, vetting frameworks, identity and posture management for AI agents, and preventative security guardrails. The role requires building scalable security systems with Python, Go, or Java, managing infrastructure as code, addressing cloud and container security, mentoring engineers, and advising leadership on AI security risks.

Architects and deploys cybersecurity infrastructure centered on Splunk and Palo Alto solutions. Integrates SIEM, SOAR, EDR, network visibility, firewalls, and ticketing platforms; supports log management, intrusion detection, network forensics, secure access, and compliance with NIST and FedRAMP. Troubleshoots infrastructure incidents, provides escalation support, communicates technical designs to customers, and mentors junior team members.

Provides cybersecurity consulting for customers using the Akamai platform. Responsibilities include network integration, security architecture reviews, cloud security strategy, threat modeling, risk assessment, DevSecOps, vulnerability management, API security, security testing, and implementation of cloud and container solutions. The consultant collaborates with account teams, evaluates web architectures, develops long-term security strategies, and contributes to training, best practices, and service quality improvements.

The Senior Security Engineer architects, implements, and supports enterprise security capabilities across vulnerability management, cloud security, identity, endpoint, application security, and security architecture. The role leads security initiatives, resolves complex platform issues, develops automation and AI-assisted workflows, establishes documentation and reporting standards, and mentors security engineers and analysts while partnering across infrastructure, application, network, cloud, and security teams.

Designs and operates controlled cyber-capability evaluations for frontier AI models and agentic systems. Builds vulnerable applications, cyber ranges, exploit-development targets, and evaluation harnesses; runs experiments; collects telemetry; analyzes model behavior and evaluation artifacts; and documents security findings. The role also develops sandboxing, containment, access, and secrets-management controls while collaborating with red-team operators, researchers, engineers, and Responsible AI stakeholders.