Top Cybersecurity Jobs in Dallas-Fort Worth, TX

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.

Develop and maintain high-fidelity detections across endpoints, identities, SIEM, and operating systems. Conduct hypothesis-driven threat hunts, translate intelligence and attacker tradecraft into detection rules, tune detection efficacy, investigate ambiguous activity, and escalate likely intrusions. Build hunting queries and dashboards, document findings, support incident reporting, contribute to security content, and use validated AI-assisted workflows for detection development and analysis.

Supports the third-party risk management lifecycle by applying risk methodologies, assessing standard vendor relationships, reviewing documentation, coordinating stakeholder and subject matter expert reviews, tracking remediation, maintaining assessment records, and preparing status reports. The role performs data-quality checks, communicates with third parties regarding lower-risk gaps, escalates complex or high-risk issues, and contributes to TPRM process improvements and audit readiness.

Build and lead Motive’s globally distributed SOC, owning detection engineering, 24/7 incident response, threat hunting, intelligence, security analytics, endpoint protection, cloud and workload monitoring, and AI-driven automation. Establish operating models, coverage strategies, runbooks, telemetry platforms, incident command processes, and measurable detection and response capabilities across corporate and production environments.

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

Own and mature the company’s DevSecOps and cloud security function. Responsibilities include implementing SOC 2 controls, automating compliance evidence, managing cloud security posture and runtime security, embedding security gates into CI/CD, leading vulnerability remediation, developing auto-remediation and AI-assisted workflows, and securing infrastructure through Terraform and policy-as-code. The role also partners with GRC and corporate security teams while building reusable security tooling and developer-platform guardrails.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, guide security monitoring and incident response, translate complex objectives into engineering requirements, and mentor engineers through code and design reviews.

The VP of Security will lead Engine’s security strategy, engineering, operations, AI security, corporate IT, and enterprise trust. Key priorities include building an AI security function, securing agent identities and AI gateways, leading AppSec, SecOps, and CloudSec, strengthening identity and access controls, managing corporate IT, supporting SOC 2 and PCI controls, and representing security to executives, the board, and enterprise customers.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.