Top Senior Cyber Security Jobs in Kansas City, MO

Own and evolve the application security program: embed secure SDLC practices, partner with engineering on design and code reviews, manage AppSec tooling (SAST/DAST/ASM/WAF/mobile), harden AWS deployments, integrate security into CI/CD, and lead vulnerability investigation and remediation efforts.

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.

Conduct advanced OSINT and operational tradecraft to collect, track, and report on hacktivist and state-sponsored threat actor activity across South Asia, Latin America, and North Africa. Produce contextual internal reports, collaborate on analytical products, and employ secure methods to support threat intelligence operations.

Senior technical security engineer responsible for cloud infrastructure security, detection engineering, incident response, application and product security, vulnerability management, penetration test ownership, and security automation. Partners with platform, logistics, and IT teams, manages an application security contractor, and builds tooling to raise the security posture across AWS, IaC, edge, and container environments.

Design, build, and deliver technical cybersecurity training: analyze needs, create modular learning assets (self-paced and instructor-led), validate effectiveness, coordinate with SMEs, and translate operational knowledge into trusted documentation.

Design and build custom security tools, middleware, and automations to integrate Identity, MDM, EDR, SIEM, and SaaS platforms. Implement API-driven data flows, UIs, CI/CD pipelines, SOAR playbooks, and secure deployment practices. Collaborate with Security Ops, IT, and Engineering to translate policies into automated, secure solutions.

Lead large-scale collection and analysis of deep and dark web data, build and maintain production-grade automated collection systems (LLM-integrated), operate Docker/cloud-based pipelines and APIs, respond to collection failures and incidents, perform threat actor research, and apply OPSEC tradecraft while collaborating globally.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Lead OSINT and engagement-driven investigations into Russian-language eCrime actors across surface, deep, and dark web. Collect actionable intelligence, produce contextual internal reports, collaborate with analytic teams, employ secure virtual OPSEC tradecraft, and leverage AI to accelerate research and decision-making under tight deadlines.

Lead and grow a remote Security Detection & Response team, build detection engineering and observability systems, drive telemetry onboarding, Panther and MITRE-aligned detections, Python automation, CI/CD workflows, and AI-assisted triage. Own incident response, investigations, cross-functional collaboration, and measurement of detection effectiveness.

Lead federal cloud security and compliance efforts to achieve and sustain ATOs. Implement and automate FedRAMP/IL-5/RMF controls, manage continuous monitoring, coordinate 3PAO audits, drive cloud security architecture, oversee change control/SCRs, and lead incident response and POA&M remediation using AI-enabled automation and monitoring across high-security GovCloud environments.

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 AppSec efforts across product, platform, and AI features by owning secure SDLC, performing threat modeling and deep code reviews, driving vulnerability management and remediation, building AppSec tooling and automations (including AI-assisted workflows), and enabling engineering teams with secure design guidance and training.

The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.

Lead product vision and strategy for security operations services, defining outcomes for managed investigation, response, threat hunting, and advisory services. Partner with customer security ops, product, and marketing teams to deliver AI-driven, automated features, represent Zscaler to customers, and drive measurable security outcomes and operational alignment.

Lead Coinbase's global IT and security audit program, delivering complex cross-functional audits across cloud, infrastructure, cybersecurity, IAM, data protection, and third-party risk. Manage and develop a global audit team, partner with first- and second-line stakeholders to drive integrated assurance, and report executive-level findings to senior leadership and the Audit Committee. Modernize audit execution through data analytics, automation, and generative AI to enable continuous monitoring and automated evidence retrieval.

Develop and mature data security frameworks, standards, and controls; assess data security risk and compliance; provide technical advisory across cloud, analytics, DSPM, Databricks, and Azure; collaborate with stakeholders to improve data protection posture and control maturity.

Lead information security risk analysis and compliance efforts across UMB, advising stakeholders on risk treatment, supporting PCI-DSS assessments, audits, and metrics collection, and maintaining current knowledge of security frameworks and regulations while managing multiple workstreams and communicating findings to leadership.

Serve as a subject-matter expert in access management and mainframe security (RACF/z/OS). Resolve complex access issues, support audits and incident response, maintain certificates, automate monitoring and reporting, mentor junior staff, participate in 24/7 on-call rotation, and implement security controls across enterprise systems using ServiceNow and related tools.

Lead development and execution of the enterprise security roadmap by translating risks into prioritized initiatives, coordinating cross-functional delivery, tracking milestones and metrics, and embedding security across identity, cloud, and network domains. Drive program visibility, build business cases and roadmaps, mentor staff, and partner with IT and business leaders to improve security operating models and outcomes.

Design, implement, and support enterprise and cloud security solutions. Collaborate with SOC/monitoring teams to improve detection and controls, support vulnerability management, automate security processes, evaluate and operationalize security tools, and respond to incidents to strengthen global security posture.

Support enterprise data protection across Microsoft 365 by configuring Microsoft Purview, DLP, and sensitivity labels; monitor and investigate data protection alerts; assist with data exposure risk assessments for AI/Copilot; provide configuration guidance, runbooks, and remediation during incidents; partner with engineering and privacy teams to implement policies and controls.

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