Top Cyber Security Jobs in Washington, DC

Designs and implements security measures across IaaS, PaaS, and SaaS environments. Conducts risk assessments, vulnerability testing, audits, forensic investigations, and incident response. Collaborates with cloud service providers, develops security architectures and frameworks, monitors for breaches, manages cloud resources, and supports compliance. The role also involves client relationship management, solving complex cybersecurity challenges, and advancing cloud security strategies.

Lead the technical strategy and continuous improvement of Samsara’s application security and vulnerability management programs. Drive vulnerability remediation and reduce MTTR across cloud, firmware/IoT, and corporate systems. Build scalable automation, guide secure design and remediation, mentor engineers, assess risks during security incidents, communicate tradeoffs to leadership, and support critical vulnerability response on call.

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%.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Consult on Oracle application security and compliance: analyze client requirements, implement security controls, perform compliance audits, develop policies, guide regulatory adherence, train and manage junior staff, and help clients mitigate risks and protect sensitive data.

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

Leads cybersecurity threat intelligence and vulnerability management initiatives, analyzing threats, deploying intrusion detection and network security platforms, and developing proactive defenses. Manages client projects, including planning, budgeting, execution, and delivery, while mentoring teams and resolving stakeholder issues. Partners with leadership to maintain quality and timelines, conducts security research, and promotes innovation across cybersecurity practices.

Lead design and implementation of cloud, container, and application security across CSPs (IaaS/PaaS/SaaS). Manage client relationships and teams, apply DevSecOps practices, perform risk assessments and vulnerability testing, configure policy frameworks (CNAPP), and provide secure coding/cloud security training and mentorship to drive secure delivery and continuous improvement.

Lead client engagements to design and implement secure network architectures (Zero Trust, SASE/SSE, segmentation, OT security). Manage teams, mentor staff, oversee enterprise network security configurations, and ensure project delivery and quality. Collaborate with clients to align security strategies with business objectives and drive innovation in network security practices.

Lead client engagements to design and implement security, controls, and compliance within Oracle applications. Manage teams, perform audits, develop governance frameworks, advise on regulatory compliance, and mentor staff to mitigate operational risk and protect sensitive data.

Lead Workday security and compliance initiatives: analyze client needs, implement security controls and compliance programs, oversee integrations, train clients, mentor teams, and manage project quality to mitigate risk and protect sensitive data.

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.

Leads Motive’s global security compliance, privacy, risk, audit, customer trust, and AI governance functions. Builds integrated controls across ISO, SOC, PCI DSS, FedRAMP, GDPR, and related frameworks; manages audits, privacy operations, international regulatory readiness, customer security reviews, policies, training, and human risk. The role also establishes AI-first automation, AI governance, and a path to FedRAMP while leading a distributed team and partnering across Legal, Engineering, Product, IT, Finance, Sales, and Customer Success.

The Senior Security Engineer will secure networks, systems, applications, databases, and cloud infrastructure; embed security controls into build pipelines; manage vulnerabilities and remediation; respond to incidents through on-call rotation; and promote security awareness across engineering. The role requires cloud security, infrastructure-as-code, application security, REST API protection, IAM, and tools including AWS, Kubernetes, Terraform, Wiz, Exaforce, and CrowdStrike.

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

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.

Lead and scale enterprise WIAM governance: define policy and control standards, centralize governance, drive risk-to-control traceability, prioritize remediation, monitor KPIs and audit readiness, advise senior stakeholders, and mentor staff to strengthen control effectiveness and regulatory compliance.

Perform technical security evaluations, investigate incidents and data loss, review logs, recommend corrective actions, and support security posture improvements with forensic analysis and controls review.

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.

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.

Assesses customer Falcon environments, identifies security-standard misalignment, recommends remediation, and communicates directly with customers. Documents and resolves issues within SLAs, prepares service reports, partners with internal teams, and coordinates troubleshooting. The role requires cybersecurity experience, customer-facing communication, knowledge of Windows, Linux, and macOS, threat detection and incident response expertise, relevant education or experience, and cybersecurity certifications. Government customer requirements may include periodic drug testing and background and fingerprint checks.

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.