Top Senior Cyber Security Jobs in Greensboro, NC

Lead federal cloud security and compliance efforts to achieve and sustain ATOs. Implement and automate FedRAMP/IL-5/RMF controls, manage continuous monitoring, coordinate 3PAO audits, drive cloud security architecture, oversee change control/SCRs, and lead incident response and POA&M remediation using AI-enabled automation and monitoring across high-security GovCloud environments.

Lead end-to-end Application Security product and program: set strategy, prioritize roadmap, ship AI-powered threat modeling and code-evaluation surfaces, enable secure-by-design SDLC, enforce CI/CD gates, drive vulnerability prioritization/remediation, establish governance and metrics, and align security initiatives with engineering and executive stakeholders.

Lead design and implementation of secure global network infrastructure. Architect security standards, conduct threat modeling and network assessments, build security automation and tooling, integrate controls with SDN/BGP/MPLS platforms, support incident response, and mentor engineering teams to maintain resilient, observable network security posture.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.

Design, implement, and maintain scalable cloud security controls for Vercel's platform. Harden infrastructure using infrastructure-as-code and policy enforcement, secure CI/CD pipelines, perform threat modeling and risk analysis, improve monitoring and incident response, and build platform-level security tooling in collaboration with platform and infrastructure teams.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

Build developer-facing security services and tools, partner with engineering teams through the SSDLC to threat model and review code, and contribute to security automation (static analysis, vulnerability management, asset inventory) to help Cedar scale secure patient-facing products.

Lead multi-year product strategy for non-human identity and access across MongoDB Atlas, core database, and developer platforms. Drive workload identity federation, programmatic access, AI agent authorization, and developer-first access management. Partner with engineering, UX, and GTM to validate enterprise requirements, prioritize initiatives, and measure adoption. Represent MongoDB externally and mentor PMs to elevate product quality.

Perform deep security analysis of endpoint products and sensors: threat modeling, source-code review, exploit-style testing (including kernel components), reproduce/validate bug bounty findings, collaborate with developers to fix vulnerabilities, and build tooling/automation to improve security workflows.

Lead application security for products by performing threat modeling, manual secure code reviews, and penetration testing. Collaborate with engineers to remediate defects, build AppSec automation and tooling, secure cloud/containerized applications, and drive bug-bounty responses to harden platform security.

Lead technical security strategy and implementation for Managed Services platforms. Design and improve security controls, IAM, PAM, vulnerability management, incident response, and compliance. Embed secure-by-design and DevSecOps practices, mentor engineers, and partner with architecture, engineering, and operations to reduce risk and enable scalable growth.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.

Design, implement, and maintain security controls across cloud (AWS) and on-prem systems. Lead vulnerability management, incident response, and remediation. Serve as SME for SIEM, SAST/DAST, IAM. Embed security in SDLC, support SOC 2/ISO 27001 audit readiness, mentor junior engineers, and recommend control improvements.

Lead MSSP-focused sales to recruit, enable, and grow managed security provider partners. Drive joint services, partner-led customer adoption, revenue attainment, forecasting, and cross-team issue resolution while meeting quotas and pipeline targets.

The role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

The Staff Security Engineer will lead technical security initiatives, own architectural security decisions, mentor engineers, and align teams on security strategy while ensuring system integrity and compliance.

Lead architecture and scaling of an automated, AI-driven vulnerability detection and remediation platform across cloud, containers, and applications. Correlate SAST/DAST/SCA findings, implement AI-assisted triage, run red/purple team validation, and build automated remediation pipelines integrated into CI/CD for continuous compliance and risk reduction.

Own and evolve the application security program: embed secure SDLC practices, partner with engineering on design and code reviews, manage AppSec tooling (SAST/DAST/ASM/WAF/mobile), harden AWS deployments, integrate security into CI/CD, and lead vulnerability investigation and remediation efforts.

Senior technical security engineer responsible for cloud infrastructure security, detection engineering, incident response, application and product security, vulnerability management, penetration test ownership, and security automation. Partners with platform, logistics, and IT teams, manages an application security contractor, and builds tooling to raise the security posture across AWS, IaC, edge, and container environments.

Design, build, and deliver technical cybersecurity training: analyze needs, create modular learning assets (self-paced and instructor-led), validate effectiveness, coordinate with SMEs, and translate operational knowledge into trusted documentation.

Lead and grow a remote Security Detection & Response team, build detection engineering and observability systems, drive telemetry onboarding, Panther and MITRE-aligned detections, Python automation, CI/CD workflows, and AI-assisted triage. Own incident response, investigations, cross-functional collaboration, and measurement of detection effectiveness.

Lead AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.