Top Cyber Security Jobs in Pensacola, FL

Leads enterprise AI security and MLSecOps programs, designing secure AI architectures, threat models, controls, and operating models. Advises executives on AI risk, compliance, and transformation roadmaps; leads complex client engagements and multiple security projects. Embeds security into MLOps, DevSecOps, and CI/CD workflows, drives adversarial testing and continuous assurance, develops consulting offerings and proposals, mentors teams, and establishes enterprise standards and guardrails for AI and generative AI systems.

Own cloud security across AWS and Azure, including identity, network, application, container, data, and AI security. Build policy and infrastructure controls as code, integrate security into CI/CD, protect regulated health data, and manage detection, incident response, vulnerability remediation, and compliance. The role also develops AI security guardrails and coaches engineering teams while operating production security controls and supporting on-call responsibilities.

Owns vulnerability management, bug bounty, CSPM, agentic red-team, and continuous penetration-testing operations. The role triages and validates findings, prioritizes risk, coordinates remediation, verifies fixes, manages cloud and network security controls, and reports program metrics. It also evaluates and deploys emerging AI-driven security tooling, automates security workflows, supports perimeter security, and partners with engineering, infrastructure, GRC, and incident response teams.

The Application Security Engineer establishes security standards, performs penetration testing and secure code reviews, conducts threat modeling, and partners with developers to remediate vulnerabilities. The role manages WAFs, CI/CD security, identity and access controls, software supply chain security, cloud architecture reviews, AI-assisted development risks, privacy, payment security, and incident response. It also governs the secure SDLC, vulnerability management, secrets protection, API security, and security tooling across development teams.

Lead information security operations, GRC, incident readiness, and ISO 27001/42001 management systems. Own risk, controls, audits, identity, vendor and data-protection governance, while providing technical assurance across applications, cloud infrastructure, IAM, CI/CD, and AI systems. Build detection and response capabilities, lead investigations, establish AI security controls, and report material risk and remediation progress to leadership.

Lead cybersecurity consulting and engineering engagements securing OT and IT environments for water, wastewater, and environmental infrastructure clients. Conduct ICS, SCADA, network, architecture, risk, and compliance assessments; design secure IT/OT architectures; develop governance, incident response, security plans, and improvement roadmaps; evaluate security technologies; and support proposals and client presentations. Mentor junior staff and advise on cloud, IoT, AI, and critical infrastructure security.

Own and scale application security across Redpanda’s C++ engine, Go control plane, Console, and Rust/Go SDKs. Responsibilities include threat modeling, secure design reviews, SAST/SCA/DAST, fuzzing, secure code review, PSIRT and vulnerability disclosure, software supply-chain security, security release gates, and security champions. The role partners closely with engineering to improve secure development practices, address vulnerabilities, and protect authentication, authorization, encryption, audit logging, and multi-tenant isolation.

Performs cloud security engineering across AWS and GCP, including system hardening, patching, vulnerability remediation, compliance scanning, security tool management, incident response, and cloud operations. Troubleshoots Linux, Windows, network, application, and identity issues; supports FedRAMP, FISMA, and NIST 800-53 requirements; documents procedures and incidents; contributes to automation; mentors junior engineers; and participates in a 24×7 on-call rotation.

Designs and operates security controls for AI/ML systems, including threat detection, incident response, cloud and application security, model governance, adversarial testing, and security automation. Builds production tooling across AI platforms such as SageMaker, Azure OpenAI, and Databricks; applies MITRE ATLAS, OWASP AI Top 10, and NIST AI RMF frameworks; and integrates enterprise security platforms to protect models, data, pipelines, and AI applications.

Leads security solution strategy and technical engagements for global enterprise customers. Advises technical decision-makers, drives secure cloud adoption, designs architectures, leads demonstrations and proof-of-concepts, coaches technical sellers, and develops solution roadmaps. Partners with account teams, product and engineering groups, and external partners to deliver integrated Microsoft security solutions across cloud, hybrid, and on-premises environments.

Lead security across Zeely’s AWS infrastructure, products, CI/CD pipelines, and compliance programs. Responsibilities include cloud hardening, IAM, vulnerability remediation, incident response, security monitoring, architecture and code reviews, and implementing SAST, DAST, SCA, and secrets scanning. The role owns SOC 2, ISO 27001, and CASA compliance, leads the security roadmap, establishes policies, guides DevOps and Platform teams, and supports enterprise customer security reviews.

Designs vulnerable and secure application fixtures addressing OWASP LLM risks, creates deterministic tests and security manifests, develops answer keys for AI and scanner evaluation, and improves AppSec assessment pipelines. The role also evaluates traditional and agent-based security architectures, documents technical findings, and collaborates on peer reviews and actionable security recommendations.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.

Leads enterprise security engineering across tools, cloud environments, identity, vulnerability management, incident response, compliance, and security operations. Oversees SIEM, endpoint, email, privileged access, and network security technologies; coordinates investigations, assessments, remediation, and managed security providers. Leads a three-person security team, mentors staff, improves workflows through automation, and communicates technical risks to leadership and clinical stakeholders.

Develops secure, isolated attack scenarios across cloud, on-premises, and hybrid environments. Reproduces vulnerabilities, builds multi-step attack chains, creates automated graders and reward signals, and validates outcomes using system state and telemetry. The role also develops attack variants and benign comparisons to evaluate AI security agents, partnering with threat researchers, AI engineers, and environment engineers.

Leads technical security engagements involving presentations, demonstrations, workshops, architecture design, and production-ready pilots. Designs and proves Microsoft and third-party cloud security, compliance, privacy, XDR, zero trust, and data protection solutions. Collaborates with sales, consulting, and partner teams, resolves technical and competitive blockers, influences strategy, and guides customer implementations. The role requires strong technical pre-sales or consulting experience and expertise in cloud, hybrid, and on-premises infrastructure.

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.

Automate security evidence generation and RMF control mapping to enable continuous authorization for U.S. Air Force systems. The role conducts audits and risk analyses, implements remediations, translates compliance requirements into engineering practices, documents inherited and implemented controls, and coaches government teams. It partners with security reviewers, authorizing officials, engineers, and contractors to embed security throughout the software delivery lifecycle.

Provides consultative pre-sales cybersecurity engineering for email security solutions. Leads customer discovery, assesses security architectures, designs solution proposals, delivers demonstrations and technical presentations, supports proofs of concept, collaborates with vendors, enables sales teams, and transitions closed opportunities to delivery teams. Focus areas include secure email gateways, phishing and BEC protection, API-based security, DLP, advanced threat protection, and hybrid cloud environments.

Leads the information security program across healthcare platforms, managing security teams, controls, vulnerabilities, cloud and data protection, monitoring, incident response, governance, risk, and compliance. Partners with Engineering, Infrastructure, DevOps, Compliance, and business leaders to reduce risk, improve incident readiness, support HIPAA, HITRUST, and SOC 2 requirements, and secure AI tools and third-party integrations.

Conduct original research into active campaigns, attacker behavior, and email and identity attacks. Synthesize technical findings from diverse sources into threat briefs, analytical reports, customer briefings, webinars, and executive summaries. Present intelligence to customers and prospects, collaborate with Threat Intelligence, Detection, Sales, Customer Success, and Marketing teams, mentor analysts, and use AI tools and automation to improve research and content workflows.

Lead hands-on product security architecture across GitLab, including design reviews, threat modeling, systemic risk remediation, security standards, prototypes, and reusable developer guardrails. Partner with engineering and product leaders, secure distributed systems and software supply chains, guide AI coding tool security, mentor security engineers, and influence technical direction through proactive architecture and clear communication.

Lead security operations and incident response engineering across hybrid cloud environments. Conduct deep-dive investigations, digital forensics, threat modeling, detection engineering, SIEM tuning, threat intelligence review, and automated remediation. Develop incident response playbooks, maintain investigation documentation, apply MITRE ATT&CK, and support incident command and SOC process optimization.

Leads Tier-3 security monitoring, threat hunting, incident response, and SLA delivery across multi-tenant environments. Serves as incident commander while engineering detections, SOAR playbooks, integrations, and AI-assisted automation using Python, APIs, LLMs, and cloud security data. Advises clients, reduces alert noise, and aligns operations with NIST, ISO 27001, privacy, and regulatory requirements.