Top Cyber Security Jobs in Fayetteville, AR

Lead Apollo’s application security strategy across engineering, product, platform, data, and AI teams. Responsibilities include security architecture reviews, threat modeling, secure code review, penetration testing, exploit development, vulnerability management, secure-by-default building blocks, AI security standards, automation, and mentoring security engineers and champions. The role requires solving ambiguous, high-scale AppSec problems, influencing cross-functional roadmaps, and delivering measurable reductions in security risk.

The Senior Application Security Engineer will strengthen Apollo’s secure software development lifecycle through application security reviews, threat modeling, code analysis, vulnerability management, penetration testing, remediation, and AppSec tooling. The role includes developing automation, securing AI-powered features, improving security observability, enabling developers, and partnering across Engineering, Product, Platform, Data, Legal, and Security teams. This senior individual contributor will own long-term AppSec goals, resolve ambiguous risks, and drive cross-functional security improvements.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Provides advanced support for enterprise security services by troubleshooting complex issues, designing and implementing security solutions, monitoring systems and security events, leading incident response, and participating in software development lifecycle activities. The role requires Python, Azure, GitHub, intrusion detection and prevention expertise, and AI/ML security knowledge. The engineer collaborates with stakeholders, leads technical initiatives, maintains security software and scripts, and drives continuous improvement across enterprise AI security infrastructure.

Designs and maintains scalable, secure enterprise infrastructure for Walmart’s identity platform. Responsibilities include architecture, automation, performance analysis, configuration and capacity management, security risk assessments, compliance reviews, documentation, monitoring, disaster recovery, and issue resolution. The role collaborates across teams to improve reliability, security, operational efficiency, and enterprise infrastructure resilience.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

Build, test, automate, and deploy security controls for AWS and Azure cloud workloads. Assess cloud security posture using CSPM tools, integrate controls into CI/CD and infrastructure pipelines, validate compliance, and support production readiness. Collaborate with cloud architects, SOC, product, infrastructure, and DevOps teams; document solutions, analyze vulnerabilities, guide junior engineers, and contribute to security roadmap planning.

Build and operate secure AI platforms, agent workflows, and reusable automation patterns. Embed security into SDLC and PDLC through threat modeling, scanning, secrets detection, supply-chain controls, and automated reviews. Develop AWS identity, network, access, and infrastructure guardrails, including zero-trust and privileged-access automation. Own production services, monitoring, incident response, and on-call support while partnering with teams across the company to enable secure self-service workflows.

Monitor, triage, investigate, and respond to cybersecurity alerts and intrusions. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 activity; determine root causes and recommend remediation. Support threat-related escalations, contribute to detection engineering and tuning, and collaborate across teams. The role requires familiarity with endpoint attack surfaces, threat actor techniques, Windows and domain administration, networking, web security, and basic malware analysis.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Lead macOS security research, including Endpoint Security API telemetry, malware reverse engineering, attack emulation, EDR bypass research, and proof-of-concept development. Collaborate with Detection Engineering, Product, and Engineering to operationalize findings, track Apple platform changes, improve detection coverage, document risks, and mentor teammates. The role also involves building ephemeral research infrastructure and representing the company through technical publications, speaking, and media engagement.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.

Build and lead product and application security efforts, partnering with Product and Engineering on secure design, development, code reviews, vulnerability discovery, and security guardrails. Develop AI-native security tooling and support incident response, vulnerability management, penetration testing, and security operations. Help establish secure development practices and scalable security systems across Headway’s platform.

Research and analyze threat intelligence, attacker tactics, vulnerabilities, and forensic evidence. Conduct threat hunts and investigations, develop detection logic and security recommendations, create customer and internal briefings, produce threat content, and improve Microsoft security tooling and investigative practices. The role supports global efforts to identify adversary activity, catalog TTPs, and protect enterprise customers.

Develop and improve Tailscale’s security and privacy features, identify and resolve technical vulnerabilities, conduct security audits, perform threat modeling, and guide engineering teams on secure coding. The role spends at least half its time writing software and requires knowledge of application security, web vulnerabilities, client-side security, API flaws, cryptography, and networking protocols.

Leads Lilly’s enterprise security posture and exposure management organization. Owns vulnerability management strategy, scanning architecture, application security integration, offensive security oversight, risk-based prioritization, remediation SLAs, exposure reporting, tooling, automation, vendors, budget, and executive accountability. The role requires deep hands-on cybersecurity expertise and experience leading leaders across enterprise-scale vulnerability management or security operations.

Lead security reviews, code audits, penetration testing, vulnerability research, and mitigation efforts for Microsoft Windows services. Develop reusable security tools and agents, identify attack vectors and architectural risks, demonstrate exploit impact, and collaborate with product engineering teams to design scalable defenses and improve security investments.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.