Top Cyber Security Jobs in Orlando, FL

Manages global 24/7 Security Operations Center operations, including processes, playbooks, shift coverage, quality assurance, analyst development, incident response capabilities, and operational performance. Leads cybersecurity analysts, partners with Product and Support teams, reports on objectives and key results, operationalizes new services, and represents the organization in public speaking engagements.

Lead the development of SailPoint’s cybersecurity architecture practice. Create holistic and reference architectures, define security domains, develop strategic roadmaps, identify security gaps, and translate architectural concepts into viable engineering solutions. Partner with leadership to prioritize initiatives, secure funding, and operationalize the practice. The role also includes hands-on security projects, cross-functional collaboration, stakeholder influence, and mentoring architects and engineers across cloud, application, identity, and network security.

Lead corporate endpoint security architecture with a focus on macOS, designing secure-by-default controls, automation, patching, software distribution, and security baselines across macOS, iOS, Windows, and Linux. Manage configurations through Terraform, GitOps, version control, CI pipelines, and automated rollouts. Partner with IT and security teams to improve telemetry, detection, response, auditability, and operational efficiency. Mentor engineers and serve as a senior escalation point for complex endpoint security issues in a fully remote environment.

Serve as a senior embedded cybersecurity consultant across the customer lifecycle: secure technical wins in pre-sales, run POVs, advise C-level and technical stakeholders, design cyber skills programs and crisis simulations, drive platform adoption and roadmaps, operationalize Immersive One with metrics and EBRs, and act as the customer liaison to sales, product, and engineering to improve cyber workforce resilience.

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.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.

Design, implement, and maintain cloud security solutions; own CNAPP enablement and vendor relationships (Azure, AWS, Palo Alto); serve as RCSA control owner (TEC083) and automate attestations; build Cloud Security dashboards in Microsoft Power BI; collaborate with architecture and operational partners to onboard, operationalize, and support cloud security capabilities.

Designs and engineers secure network and cloud architectures across AWS, GCP, Azure, and physical data centers. Responsibilities include threat modeling, network segmentation, monitoring, alerting, automation, attack-surface reduction, and secure connection patterns. The role drives strategic security improvements, partners with product and infrastructure teams, communicates architectural decisions, and mentors engineers. Candidates need deep hybrid networking and cloud security expertise, protocol knowledge, scripting ability, independent problem-solving skills, and strong communication.

Deliver generative AI-enabled source code review and application security engagements. Coordinate with leadership, organize resources, refine and present assessment findings, document recommendations, and mentor junior red team members. Support penetration testing projects, including external and web application testing, while managing engagement delivery and improving security assessment technologies and workflows.

Owner of Vannevar's authentication and authorization platform: build tenant-isolated auth systems, self-service user/group/permission admin UI, tooling to visualize and validate access, feature-flag and platform management interfaces, and shared authorization capabilities across products.

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.

The Security Engineer will manage Liftoff's SIEM, lead the adoption of AI-augmented SOC tools, triage alerts, and improve incident response processes while collaborating on various security functions.

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 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.