Top Remote Cyber Security Jobs in Washington, DC

The Senior GRC Analyst will lead security and risk operations, manage compliance audits, enhance control environments, and implement AI tools for GRC processes.

Support and enforce NIST/CMMC-aligned security controls; monitor SIEM/EDR and perform incident triage and response; manage Windows/AD environments; conduct vulnerability scanning and remediation; protect and classify FCI/CUI; support audits and control validation; maintain compliance documentation; collaborate with IT and business teams and communicate security risks to technical and non-technical stakeholders.

Lead and perform end-to-end forensic investigations and incident response for complex cyberattacks. Conduct log, host, network, memory, and malware analysis; threat hunt for APTs; identify IOCs/TTPs; use and improve investigation tooling and playbooks; communicate findings and recommendations to technical and executive stakeholders.

Lead and command complex DFIR engagements as the primary client-facing incident commander. Oversee forensic analysis across endpoints, cloud, identity, email, SaaS, and networks; advise executives and legal; manage containment and recovery; mentor teams; run readiness exercises and post-incident reviews.

Own technical pre-sales for enterprise AI security: lead discovery, design demos, execute end-to-end POCs, partner with AEs, surface product feedback, and advise customers on complex technical decisions.

Lead and grow a global digital forensics, incident response, and eDiscovery team. Own strategy, tools, and processes to prepare for, identify, contain, eradicate, and recover from cyber incidents. Partner with Security Operations, DLP, Threat Intelligence, Legal and Compliance. Drive forensic analysis, network and memory analysis, threat hunting, IOC development, and enterprise incident response program development and training.

Lead design and ownership of advanced fraud detection models and monitoring. Apply adversarial threat modeling to select architectures (tree-based, deep, graph), debug production failures, run experiments, mentor engineers, and build AI-assisted workflows that scale domain expertise while resisting manipulation.

Lead technical enablement for SEs by building repeatable architectures, POV methodologies, and competitive displacement playbooks. Embed in deals, coach SEs, accelerate ramp and POV velocity, run global accreditation and onboarding programs, and align pre- and post-sales to measurably improve win rates and deal-stage conversions.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Design, implement, and govern enterprise identity systems (Okta-first) including HR-driven provisioning with Workday, SSO/SCIM for SaaS, AWS identity architecture, OPA/Rego policy-based authorization, machine/non-human identity lifecycle, AI-agent identity governance, device trust via MDM integration, and mentor engineers while producing runbooks and compliance-ready documentation in a HIPAA-regulated environment.