Top Cyber Security Jobs in Tampa, FL

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.

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.

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.

Advise business leaders on resilience and business continuity, design and implement continuity strategies and incident response plans, lead exercises and recovery during disruptions, modernize program using technology (including generative AI), collaborate enterprise-wide, and serve as subject matter expert for business continuity for designated areas.

Designs, deploys, operates, and maintains endpoint security solutions across workstations, servers, VDI, and mobile devices. Responsibilities include managing CrowdStrike Falcon, Symantec DLP, Skyhigh, and Zscaler technologies; monitoring telemetry and sensor health; troubleshooting endpoint issues; executing upgrades and migrations; supporting SIEM/SOAR integrations, malware coverage, automation, documentation, and security roadmap initiatives.

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.

Maintains enterprise information security policies, standards, and procedures while designing and supporting secure network, access control, cloud, data protection, and messaging solutions. Provides hands-on support for Protegrity, Terraform, Kubernetes, Splunk, ServiceNow, Snowflake, HashiCorp Vault, and HSMs. Troubleshoots integrations, manages infrastructure and secrets, supports incident and change workflows, and ensures complex security solutions comply with enterprise, regulatory, and industry standards.

Own the organization’s application security posture, partnering with engineering and IT on secure coding, vulnerability management, penetration testing, security architecture, and remediation. Support audits, risk assessments, SOC 2 compliance, incident and breach investigations, bug bounty programs, and employee security training. The role is fully remote but requires a final in-person interview with company-paid travel.

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.