Top Cyber Security Jobs in Little Rock, AR

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.

Leads enterprise application security through secure code reviews, threat modeling, architecture assessments, CI/CD security controls, secure coding standards, API protections, WAF tuning, and software supply chain security. Partners with engineering, DevOps, platform, and SRE teams to remediate risks, automate controls, secure AI-enabled applications, and improve organization-wide security practices. Serves as a principal technical advisor and mentor while defining scalable guardrails, playbooks, metrics, and reference architectures.

Designs and engineers secure network and cloud architectures across AWS, GCP, Azure, and physical data centers. Responsibilities include threat modeling, network segmentation, monitoring, alerting, automation, attack-surface reduction, and secure connection patterns. The role drives strategic security improvements, partners with product and infrastructure teams, communicates architectural decisions, and mentors engineers. Candidates need deep hybrid networking and cloud security expertise, protocol knowledge, scripting ability, independent problem-solving skills, and strong communication.

Deliver generative AI-enabled source code review and application security engagements. Coordinate with leadership, organize resources, refine and present assessment findings, document recommendations, and mentor junior red team members. Support penetration testing projects, including external and web application testing, while managing engagement delivery and improving security assessment technologies and workflows.

Secure CrowdStrike’s software supply chain, open-source dependencies, GitHub organizations, repositories, and source-code environments. Assess risks, implement repository guardrails and secret scanning, investigate malicious packages and dependency threats, automate security checks, and guide engineering teams on secure coding and open-source compliance. The role also contributes to cross-team security initiatives, CI/CD and cloud security integrations, monitoring, and AI-enabled vulnerability triage.

Assess and harden software supply chain security by performing technical assessments, designing and implementing security controls and monitoring for build pipelines, investigating systems for vulnerabilities, creating tooling to address gaps, and leading cross-team projects to improve CrowdStrike's product security posture.

Owner of Vannevar's authentication and authorization platform: build tenant-isolated auth systems, self-service user/group/permission admin UI, tooling to visualize and validate access, feature-flag and platform management interfaces, and shared authorization capabilities across products.

Lead and mature Affirm's third-party security risk program by designing controls, automating GRC workflows, evaluating third-party/cloud security, building integrations and dashboards, and advising stakeholders. Drive automation using Python and agentic coding tools, operate orchestration across systems, manage a portfolio of risk reviews, and establish metrics, processes, and reporting to scale security risk management.

The Security Engineer will manage Liftoff's SIEM, lead the adoption of AI-augmented SOC tools, triage alerts, and improve incident response processes while collaborating on various security functions.

As a Security Engineer, you will conduct security assessments, develop security tools, perform architecture reviews, and collaborate on advanced security research.

Lead and grow a Security Platform engineering team to design and operate centralized identity and access services (IdP integrations, SSO, authorization frameworks). Define roadmap, partner cross-functionally, and drive adoption of secure-by-default access controls across products.

Lead product security across the SDLC: threat modeling, secure architecture, vulnerability management, security testing and remediation, CI/CD/DevSecOps controls, AI security integration, bug bounty triage, developer training, and cross-functional security consulting to scale secure-by-design practices.

Lead and grow a security engineering team to design and operate cloud-native security controls, drive DevSecOps practices, conduct threat modeling and incident response, partner cross-functionally on security roadmaps, and ensure compliance with frameworks (NIST, SOC 2, ISO, etc.). Responsible for vulnerability management, identity and access controls, observability/SIEM, and security automation.

Perform 24/7 SOC monitoring and incident response across networks, endpoints, cloud and SaaS; triage, investigate, and remediate incidents; collaborate with vulnerability management, FedRAMP, and engineering teams; refine detection/playbooks; maintain incident documentation and SOC processes; support FedRAMP-related security and privacy responsibilities and periodic background investigations.

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

Leads Forward’s application and product security program, including a team of senior engineers, penetration testing, vulnerability remediation, secure SDLC practices, and AI security. Owns testing standards, remediation workflows, exposure controls, pre-production security reviews, and security services. Partners with Engineering and executives to communicate risk and priorities while securing web applications, APIs, cloud infrastructure, and AI-built software.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

Lead application security engineering across the SDLC using AI-assisted threat modeling, automated security testing, vulnerability prioritization, and secure-by-default controls. Partner with Engineering, Product, QA, DevOps, and AI platform teams to secure applications, APIs, cloud infrastructure, data, and AI/ML systems. Build security automation, CI/CD controls, policy-as-code guardrails, developer enablement, and proactive defenses against emerging threats such as prompt injection and data poisoning.

Design, implement, and support enterprise identity and access management using Microsoft Entra. Build controls for Conditional Access, MFA, identity governance, privileged access, authentication modernization, and Zero Trust. Develop PowerShell automation for identity lifecycle and governance, partner with technical and business teams, improve security operations, and mentor engineers. The role also includes on-call participation and occasional after-hours work.

Leads enterprise AI tooling and security engineering, designing scalable cloud platforms and secure AI applications. Responsibilities include protecting models, agents, prompts, data, APIs, and outputs; securing the AI/ML lifecycle; implementing identity, encryption, monitoring, threat detection, adversarial testing, and incident response; and establishing engineering standards. The role mentors engineers, influences architecture and technology strategy, and partners with governance, risk, compliance, and business teams to support responsible AI adoption.

Leads enterprise AI tooling and security strategy, building secure cloud-native platforms and protecting AI models, agents, prompts, data, APIs, and outputs. Designs controls for identity, access, encryption, monitoring, threat detection, adversarial testing, governance, and incident response. Provides distinguished technical leadership, mentors engineers, establishes engineering standards, and partners across architecture, security, governance, risk, compliance, and business teams.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Build and operate security log pipelines, SIEM detections, endpoint controls, security automation, and internal tooling across AWS, macOS, Windows, CI/CD, and infrastructure repositories. Develop primarily in Python, implement Terraform-based infrastructure and policy-as-code safeguards, integrate security tools through APIs, and embed scanning and secrets detection into developer workflows. Own the reliability and coverage of security platforms while independently driving projects and implementing fixes directly in systems managed by other teams.

Own AWS cloud security posture and vulnerability management using Wiz and AWS-native services. Build Infrastructure as Code guardrails, secure CI/CD pipelines, automate vulnerability workflows, and operate WAF protections. Partner with DevOps and engineering on IAM, network segmentation, containers, secrets, data exposure, telemetry, threat modeling, and application security. Drive projects independently while reducing organizational risk.