Top Cybersecurity Jobs

Support vulnerability identification, assessment, prioritization, remediation, and reporting across applications and infrastructure. Conduct security reviews, assist with application security and red-team activities, support audits and regulatory compliance, coordinate remediation with system owners, and maintain vulnerability-management tools and documentation. The role also involves scripting, automation, risk assessment, and communicating security issues to technical and non-technical stakeholders.

Own vulnerability management across applications, infrastructure, containers, Kubernetes, and third-party dependencies. Investigate and prioritize findings, recommend remediation, validate fixes, and lead remediation initiatives. Maintain vulnerability-management repositories, APIs, jobs, dashboards, and reporting applications. Integrate security tools with engineering workflows, identify false positives, and communicate risk, SLA performance, and program effectiveness. Partner with engineering and infrastructure teams while using approved AI tools to support security automation, development, research, testing, and documentation.

Leads SoFi’s Offensive Security function, unifying penetration testing and red teaming. Owns strategy, staffing, tooling, metrics, vendor relationships, regulatory engagement, and execution quality. Builds AI-assisted offensive security capabilities for reconnaissance, exploit development, attack-path analysis, testing, and reporting. Personally contributes to network, application, cloud, mobile, AI, and adversary-emulation engagements while hiring, coaching, and developing the team and partnering with engineering, risk, vulnerability management, and incident response.

Lead design and implementation of scalable vulnerability management systems across applications, cloud, containers, supply chain, and hardware. Build automation for detection, enrichment, prioritization, routing, and tracking; respond to critical disclosures; drive remediation workflows, metrics, and standards; mentor engineers and partner with cross-functional teams to reduce vulnerability risk.

Design, build, and operationalize ML-based security and anomaly detection across large-scale telemetry. Own feature engineering, model training, evaluation, deployment, drift monitoring, and SOC feedback loops. Partner with SOC, threat intel, and fraud teams to reduce noise and improve detection coverage, and mentor engineers on applied ML and detection operations.