Top Security Engineer Jobs in Seattle, WA

Security Engineering Intern responsible for completing a scoped security project, developing automation and investigation tools, researching vulnerabilities, analyzing findings, validating AI-assisted outputs, collaborating with engineers, and documenting and demonstrating solutions. The role requires programming, web and systems knowledge, foundational security understanding, AI familiarity, and current enrollment in a bachelor’s or master’s program.

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.

Lead secure design reviews, threat modeling, and security risk assessments for products and features. Partner with engineers, product managers, and designers to develop secure architectures, provide remediation guidance, promote security culture through training and mentoring, oversee vulnerability management, and explain security events. Build security tooling, automate secure development practices, and establish architectural patterns and processes that reduce security risk across DigitalOcean’s engineering organization.

Conduct application security assessments, discover and validate vulnerabilities, analyze complex codebases, build custom security tooling, perform threat modeling and architecture reviews, and deliver actionable findings to clients. Independently own assessment workstreams, develop proof-of-concept exploits, communicate technical conclusions, review team work, and contribute to security research, open-source tools, and technical writing.

Conduct application security assessments, discover and validate vulnerabilities, analyze code and architectures, perform threat modeling, build security tooling, and develop proof-of-concept exploits. Own scoped assessment components from discovery through client delivery, communicate findings and remediation guidance, and contribute to security research, open-source tools, and technical documentation. The role requires hands-on coding, vulnerability research, memory-corruption knowledge, operating-system familiarity, and independent technical investigation.

Operate application security across the SDLC, including secure design, code reviews, threat modeling, API security, DevSecOps tooling, CI/CD security gates, cloud and container security, vulnerability management, and risk communication. Partner with engineering teams on secure coding standards, AWS, Kubernetes, Terraform, mobile ecosystems, and responsible AI integration. Participate in an on-call rotation and develop scalable security platforms, paved roads, documentation, and developer training.

Lead insider risk detection engineering and investigations using EDR/XDR, UEBA, SIEM, and SOAR tools. Refine detection rules, reduce alert noise, close coverage gaps, manage investigations, develop playbooks, document evidence, mentor analysts, and collaborate discreetly with HR, Legal, business leaders, and executives. The role also requires investigative workflow automation using Python or JavaScript and ownership of scalable security processes.

Design and implement logging and alerting systems across endpoints, infrastructure, networks, and cloud environments. Build automation for threat hunting and incident response, investigate and triage security events, lead incident response efforts, and develop threat intelligence on advanced adversary tactics. The role also requires secure, scalable software development using Python or Go and expertise across operating systems, Kubernetes, and cloud platforms.

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.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.

Protect corporate data through DLP implementation, tuning, alert review, false-positive reduction, and control optimization across web, endpoint, email, cloud, and SaaS environments. The engineer will review data protection programs, improve monitoring and blocking controls, collaborate with business partners, and use automation and emerging AI tools to strengthen security operations.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.

Designs, deploys, maintains, and enhances global physical security systems, including video management, access control, intrusion detection, communications, and related hardware. Collaborates with vendors and technical teams, develops project plans and operating procedures, manages system releases, validates security controls, and reports project status and risks to leadership. The role supports security operations centers, offices, and remote sites while ensuring compliance with internal policies, regulatory requirements, and industry standards.

Leads technical direction for Remitly’s Security & Privacy organization while remaining hands-on in software and security engineering. Designs and ships agentic security platforms, automations, and controls across application, infrastructure, identity, privacy, governance, and risk domains. Advises executives and engineering leaders, advances secure design, balances security with business velocity, and mentors engineers. Requires deep expertise in application security, AI development, cloud security, IAM, cryptography, and production-scale software engineering.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Design and develop secure, resilient full-stack systems and microservices using Java or Python and AWS. Build digital asset custody components, blockchain integrations, APIs, and cloud applications across the software development lifecycle. Create architecture artifacts, troubleshoot production issues, analyze data, and improve reliability. Lead responsible adoption of AI-assisted engineering tools for coding, testing, reviews, refactoring, and incident analysis while coaching teams on secure, compliant practices.

Lead AI/ML security architecture and engineering initiatives, clarify security requirements across multiple networks, assess and triage threats, manage disruptive-event response resources, and recommend risk-based business modifications. Build enterprise security solutions through hands-on coding, threat modeling, vulnerability assessment, penetration testing, cloud-native development, and security integration into CI/CD workflows.

Designs and deploys scalable security controls that prevent recurring identity-platform vulnerabilities. Translates breach learnings and threat actor behavior into reusable enforcement frameworks, integrates protections across production services, and automates countermeasures across Microsoft’s identity fleet. The role partners with engineering teams to strengthen authentication and authorization defenses while maintaining service reliability.

Perform penetration testing, threat modeling, security design reviews, and vulnerability validation across applications, APIs, infrastructure, cloud-native systems, and AI agents. Build AI-powered security automation, identify complex attack paths, and partner with engineering teams to improve security controls and eliminate vulnerability classes. Translate technical findings into actionable guidance and lead complex assessments across organizational boundaries.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling, secure architecture reviews, SAST/DAST implementation, code reviews, secure coding standards, penetration testing, vulnerability remediation, and security controls for AI agents, data pipelines, and model-training environments. The role also researches emerging LLM security threats, automates security processes, and partners with engineering teams to enable secure development at scale.

Designs, deploys, and operates network security monitoring for sovereign and government cloud environments. Responsibilities include managing firewalls, proxies, IDS/IPS, and traffic inspection platforms; building telemetry pipelines; developing detections and alerts; analyzing packet captures and security logs; automating detection and incident response workflows; integrating monitoring platforms; creating operational dashboards; and leading incidents and on-call operations.

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.

Own and improve vulnerability management across cloud, on-premises, network, and endpoint environments. Responsibilities include scanning, triage, risk-based prioritization, remediation coordination, SLA tracking, exception management, closure validation, asset reconciliation, reporting, incident support, on-call participation, and audit documentation. The role partners with Engineering, SRE, IT, and Infrastructure teams and uses security tooling and AI-assisted workflows to reduce exposure and recurring vulnerabilities.

Deploys and operates enterprise network access control, perimeter security, firewalls, VPNs, endpoint posture assessment, and TrustSec segmentation for a federal agency. The role owns Cisco ISE, 802.1X enforcement, certificate-based authentication, Firepower operations, security policy, incident support, change control, compliance reporting, and 24x7 on-call response. It also requires stakeholder briefings, technical documentation, and knowledge of federal cybersecurity standards and processes.

Monitor emerging vulnerabilities, assess exploitability and business risk, prioritize remediation, and develop vulnerability intelligence frameworks. Implement asset detection and monitoring across cloud and data-center environments, maintain vulnerability management KPIs, communicate security posture to technical and executive stakeholders, use CrowdStrike Falcon capabilities, and build security tooling. The role requires scripting, threat intelligence research, cloud and Linux experience, cross-functional collaboration, and AI-enabled workflow improvements.