Top Cyber Security Jobs in Nashville, TN

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.

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.

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.

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.

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.

Staff Security Engineer partners with Product, Engineering, and DevOps to embed security into application architecture, cloud infrastructure, and CI/CD processes. Responsibilities include secure design and code review, vulnerability remediation, AWS cloud security, WAF tuning, security automation in Python, SIEM and log pipeline contributions, endpoint controls, and security standards. The role requires deep expertise in application security, cloud security, or security automation, plus threat modeling and independent project ownership.

Lead detection, response, and digital forensics for security incidents. Monitor alerts, perform technical analysis, act as Incident Commander, build automation and runbooks, mentor engineers, and coordinate cross-team investigations and insider threat work.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

Manage security operations and lead a security engineering team defending endpoints, SaaS, infrastructure, and corporate systems. Serve as senior Incident Commander, oversee detection and response using CrowdStrike, conduct cybersecurity risk assessments, and improve vulnerability, patch, access, and configuration management. Build detection coverage across endpoint, identity, SaaS, and cloud signals while partnering with AppSec and technical leaders. Lead the company’s AI security strategy and develop specialized security capabilities.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, and automate governance workflows using Python and coding tools. Configure integrations across ticketing, GRC, and vendor-management platforms; develop risk dashboards and reporting; and partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy. The role also supports security governance process improvements and applies frameworks including NIST, ISO 27001, SOC 2, and PCI DSS.

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 product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Lead complex cloud, identity, supply-chain, and nation-state security investigations. Perform root-cause analysis, threat hunting, blast-radius assessment, attribution, and incident response across Microsoft telemetry. Operationalize intelligence into queries, detections, playbooks, and platform fixes; investigate adversary tradecraft; use AI-assisted tooling; produce executive-ready reports; and mentor peers in advanced investigations, forensics, and reverse engineering.

Leads Windows security assurance across compliance, risk assessment, threat modeling, vulnerability research, and security tooling. Partners with engineering and product teams to translate security requirements into controls, execute scalable risk-based reviews, coordinate cross-team initiatives, and deliver measurable security improvements across the product lifecycle.

The Information Security Analyst will manage security operations, penetration testing, antivirus and SIEM tools, security assessments, AI-system risk evaluations, business continuity improvements, and compliance frameworks including SOC 2, NIST, and CJIS. The role also delivers security training, evaluates vendors, responds to security questionnaires and RFPs, and partners with IT, engineering, sales, and product teams. U.S. citizenship and FBI fingerprint and background checks are required.

Leads information security governance, risk, and compliance activities, including risk assessments, risk register management, remediation, security metrics, HITRUST and SOC 2 audits, client questionnaires, control documentation, and third-party risk management. Collaborates with IT, Privacy, Compliance, business stakeholders, and auditors to maintain healthcare data security and regulatory compliance.

Lead strategy to define and scale technical skilling for Microsoft's global Security Solutions Specialist community. Use sales and field data, market intelligence, and AI-enabled analytics to identify capability gaps, design skilling frameworks, drive adoption, measure impact, and advise senior leaders to accelerate security and AI-driven customer outcomes.

Conduct advanced vulnerability research across Microsoft products, cloud services, and open-source ecosystems. Develop scalable automation, AI-driven systems, and security tooling for vulnerability discovery and remediation. Lead offensive security assessments, analyze emerging attack techniques, collaborate with engineering and security teams, and publish technical findings influencing large-scale software systems.

Administer and enhance enterprise data security platforms, including SecuPi, while implementing access controls, masking, encryption, tokenization, monitoring, classification, and DLP across databases, cloud platforms, applications, and AI services. The role integrates security tools with IAM, PAM, SIEM, SOAR, and monitoring systems; troubleshoots complex environments; develops automation; investigates anomalous access; supports audits and incidents; and partners with infrastructure, cloud, database, application, privacy, and governance teams.

Drive technical pre-sales for data security: deliver demos/PoCs, lead hands-on workshops, design secure architectures, resolve technical blockers, advise on data governance and AI platform security, and represent Microsoft in developer communities.

Lead cloud security strategy and engineering across AWS infrastructure, applications, data, Kubernetes, CI/CD, and cloud-native systems. Design security controls for identity, networking, workloads, secrets, monitoring, and vulnerability management; automate guardrails; assess broader risks and attack paths; guide architecture and incident response; define security metrics; and influence engineering teams through technical leadership and communication.