Top Cyber Security Jobs in Tampa, FL

Lead product security across the SDLC: threat modeling, secure architecture, vulnerability management, security testing and remediation, CI/CD/DevSecOps controls, AI security integration, bug bounty triage, developer training, and cross-functional security consulting to scale secure-by-design practices.

Lead and grow an Infrastructure Security team securing cloud infrastructure, edge networks, and application delivery. Drive cloud security architecture, WAF/SASE/zero-trust implementations, PAM and secrets management, incident management and on-call response, KPIs/OKRs, cross-team partnerships, and continuous security process and tooling improvements.

Lead and mature Affirm's third-party security risk program by designing controls, automating GRC workflows, evaluating third-party/cloud security, building integrations and dashboards, and advising stakeholders. Drive automation using Python and agentic coding tools, operate orchestration across systems, manage a portfolio of risk reviews, and establish metrics, processes, and reporting to scale security risk management.

Lead and grow a Security Platform engineering team to design and operate centralized identity and access services (IdP integrations, SSO, authorization frameworks). Define roadmap, partner cross-functionally, and drive adoption of secure-by-default access controls across products.

Lead and mature GitLab's security compliance program, expand certification portfolio (SOC 2, ISO, PCI, FedRAMP, etc.), drive automation and AI-enabled compliance workflows, manage auditors and cross-functional stakeholders, mentor a team, and improve metrics, reporting, and regulatory readiness to support business growth.

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.

The Staff Cloud Security Engineer will secure cloud infrastructure for Huntress, focusing on product security, risk management, and compliance for a SaaS platform. Responsibilities include collaborating with DevOps, managing vulnerabilities, threat modeling, and developing incident response strategies.

Lead second-line IT risk oversight for technology, cyber, data and AI. Perform risk assessments, advise on controls and product launches, drive policy and remediation, support regulatory compliance, and report to executives and board on information security themes.

Lead customer trust and security governance: oversee contract reviews, security questionnaires, and escalations; partner with Legal, Sales, Product, and Procurement; develop templates, policies, playbooks, metrics, and awareness programs; and apply automation and AI to scale workflows and reporting.

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.

Sell CDW Security services and products, manage full sales lifecycle, develop strategic account plans, build and grow client and partner relationships, coordinate internal resources, maintain Salesforce pipeline and forecasts, mentor junior sellers, represent CDW at industry events, and meet bookings, revenue, and profit targets.

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.

Run day-to-day marketing for AppSec, AI/ML Security, and Research & Engineering practices: produce technical content, own social and event presence, run demand-generation campaigns, enable sales, build analytics and attribution, and coordinate cross-practice coverage with engineering and GTM teams.

Lead product security work across Vercel: threat modeling, secure code reviews, open-source and supply-chain security, SDLC tooling and automation, bug bounty triage, cross-team security projects, and customer-facing security support to embed security across development and platform operations.

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.

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.

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.

Ensure Rubrik products meet security standards by integrating AppSec into the SDLC, performing automated and manual assessments, threat modeling, hardening applications and deployments, tracking AppSec metrics, and producing security guidance for engineering and operations teams.

The role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

Act as the technical presales lead for AI agent and cloud identity security across North America: scope engagements, design and run POCs and architectures across AWS/Azure/GCP, secure non-human and machine identities, create repeatable technical assets, and partner with account teams to close deals.

Perform hands-on application and system security assessments: discover and validate vulnerabilities, develop proof-of-concepts and custom tooling, conduct threat modeling and architecture reviews, and communicate clear remediation guidance to clients while contributing to security research.

Lead enterprise customer success for an AI-driven SOC product: drive value realization, manage account health and QBRs, scale success playbooks, optimize adoption and time-to-value, translate customer feedback into product requirements, and serve as a strategic advisor to customer security leaders.

Own enterprise customer accounts end-to-end: onboard and integrate customers, drive product adoption and retention, troubleshoot integrations (APIs, Python), collaborate with engineering/product, and create technical enablement assets.

Design and scope vulnerability management solutions for enterprise customers, translate customer environments into implementation plans, write actionable tickets for engineering, own technical relationships during deployments, and create repeatable scoping practices to reduce forward-deployed engineering.

Perform penetration testing at scale on web applications and networks, develop automated tools, and simulate cyber-attack techniques. Manage tasks and client interactions while contributing to security projects and research.