Top Cyber Security Jobs in Pensacola, FL

Supports application security across product and engineering teams by reviewing code, configurations, pull requests, logs, and system designs; identifying and prioritizing vulnerabilities; guiding remediation; and contributing scripts, tooling, detections, tests, and secure coding practices. The role also involves vulnerability management, risk-based analysis, security communication, and collaboration across engineering, infrastructure, compliance, and product teams.

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.

Lead and scale an AI Security incubation team to drive technical GTM, recruit and mentor principal AI security specialists, build repeatable POVs and sales playbooks, advise C-level customers on secure AI deployments (RAG, agents, prompt workflows), and channel field insights into product and engineering roadmaps while supporting high-value deals.

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.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Lead OSINT and engagement-driven investigations into Russian-language eCrime actors across surface, deep, and dark web. Collect actionable intelligence, produce contextual internal reports, collaborate with analytic teams, employ secure virtual OPSEC tradecraft, and leverage AI to accelerate research and decision-making under tight deadlines.

Lead large-scale collection and analysis of deep and dark web data, build and maintain production-grade automated collection systems (LLM-integrated), operate Docker/cloud-based pipelines and APIs, respond to collection failures and incidents, perform threat actor research, and apply OPSEC tradecraft while collaborating globally.

Support enterprise security sales by identifying customer requirements, demonstrating Datadog security solutions, providing technical expertise during evaluations and proof-of-value initiatives, and developing proposals and sales materials. The role partners with sales, product, and engineering teams, tracks security trends and vulnerabilities, influences product development, and represents Datadog at industry events. Travel up to 30% is required.

Operate application security across the SDLC, including secure design, code reviews, threat modeling, API security, DevSecOps tooling, CI/CD security gates, cloud and container security, vulnerability management, and risk communication. Partner with engineering teams on secure coding standards, AWS, Kubernetes, Terraform, mobile ecosystems, and responsible AI integration. Participate in an on-call rotation and develop scalable security platforms, paved roads, documentation, and developer training.

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.

Own the security and identity architecture for CDW’s MyCDW ServiceNow platform. Lead consolidation of Entra, Okta, and ServiceNow authentication; architect SailPoint-to-Entra IGA migration; define RBAC, lifecycle, certification, governance, and compliance controls; and guide threat modeling, monitoring, risk reduction, and remediation. Partner across technology and compliance teams, lead IAM and security engineers, manage vendors, and develop strategic roadmaps for secure, cost-effective platform transformation.

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 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.

Senior security engineer responsible for developing automation and tooling, building and deploying security solutions, conducting incident response and proactive threat hunting, supporting investigations through data analysis, and advising development teams. Must document solutions, participate in agile teams, mentor juniors, and continuously research evolving security threats.

Lead Zapiers security strategy for an AI-native SaaS platform. Own App and Infrastructure Security, Detection & Response, GRC, risk management, incident response, bug bounty triage, and enterprise security enablement. Partner with Product, Engineering, Legal, and GTM to embed secure-by-default design, shape AI-specific controls, support enterprise deals, and build a high-performing security engineering organization.

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.

Lead applied research on agentic AI for cybersecurity: develop efficient post-trained models, agent designs, and rigorous evaluation/verification. Partner with security teams to translate research into products, run experiments, and publish novel techniques.

Serve as field-facing technical authority on enterprise AI security: define AI technical strategy, design and deliver tailored demos/POVs, advise on LLM/RAG/agent risks and data protection, feed product roadmap, and create reusable enablement assets and training for sales and engineering teams.