Top Remote Cyber Security Jobs in Washington, DC

Provides proactive technical account management for strategic cybersecurity customers. Responsibilities include customer onboarding, platform training, health checks, issue resolution, escalation management, success planning, knowledge-base development, renewal-risk mitigation, and expansion support. The role serves as a customer advocate while collaborating with support, engineering, and sales teams. Candidates need cloud, application infrastructure, security, incident response, forensics, networking, and cloud architecture expertise, along with strong communication and customer-success skills.

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.

Triage bug bounty and vulnerability management reports, validate findings, assess severity, identify duplicates, and coordinate remediation through closure. Collaborate with PSIRT, engineering, legal, communications, customer success, and security teams. Support CVE assignments as a CNA representative, communicate with researchers and customers, maintain accurate records, monitor operational metrics, and improve vulnerability-handling procedures, runbooks, and documentation.

Partners with Sales to advise enterprise customers on cybersecurity, identity, asset visibility, exposure management, and risk solutions. Leads technical discovery, solution design, demonstrations, proof-of-value and proof-of-concept engagements, customer validation, training, and executive presentations. Translates technical capabilities into business outcomes while supporting complex sales cycles and collaborating with Product, Marketing, Customer Success, and Support. Travel is typically 25–50%.

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.

Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.

Partner with sales teams to win strategic data security opportunities. Present technical solutions, gather customer requirements, lead product evaluations, configure solutions, and design evaluation test plans. The role requires extensive pre-sales experience, security and networking expertise, data protection and web technology knowledge, and collaboration across matrixed go-to-market and partner teams.

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.

Build and lead Motive’s globally distributed SOC, owning detection engineering, 24/7 incident response, threat hunting, intelligence, security analytics, endpoint protection, cloud and workload monitoring, and AI-driven automation. Establish operating models, coverage strategies, runbooks, telemetry platforms, incident command processes, and measurable detection and response capabilities across corporate and production environments.

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.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, legal, and compliance stakeholders. Build investigation scripts, runbooks, automated workflows, and security operations capabilities. Mentor engineers and support insider threat initiatives while collaborating across teams on cloud security and incident response.

Leads enterprise security architecture by assessing threats, performing application security assessments and threat modeling, reviewing designs, and integrating controls into SDLC and DevSecOps environments. Advises business and engineering stakeholders on secure solutions, remediates vulnerabilities, protects APIs, web applications, and cloud workloads, and improves security processes through automation and standardization.

The VP of Security will lead Engine’s security strategy, engineering, operations, AI security, corporate IT, and enterprise trust. Key priorities include building an AI security function, securing agent identities and AI gateways, leading AppSec, SecOps, and CloudSec, strengthening identity and access controls, managing corporate IT, supporting SOC 2 and PCI controls, and representing security to executives, the board, and enterprise customers.

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.

Deploy and configure Rapid7 security products for post-sales customers, applying security best practices and documenting implementation decisions. Build custom dashboards, reporting workflows, integrations, and data pipelines using Python, SQL, and REST APIs. Support pre-sales scoping, resolve deployment challenges, collaborate across teams, improve internal delivery processes, and occasionally travel for customer engagements.

Leads and mentors a product security engineering team while remaining hands-on. Owns certification, accreditation, DISA STIG hardening, SOC 2, ISO 27001, audit readiness, vulnerability remediation, security tooling, and authorization initiatives. Coordinates with Compliance, Legal, Sales Engineering, and customers; tracks remediation SLAs and certification posture; establishes evidence collection processes; and translates technical security strategy into an executable roadmap.

Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.

Drive application security by running SAST/SCA, threat modeling, vulnerability management, and remediation. Advise on secure architecture, train engineers, support pentests/bug bounties, and administer AWS Control Tower and IAM. Innovate with AI to improve AppSec tooling and practices.

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.

Secures AWS cloud infrastructure through vulnerability management, IAM audits, security monitoring, incident response, threat modeling, compliance assessments, and automated remediation. Manages AWS security controls, Terraform infrastructure, CloudWatch alerting, CI/CD security practices, documentation, audits, and risk assessments while supporting 24/7 production systems and maintaining NIST, FISMA, and FedRAMP compliance.