Top Remote Cyber Security Jobs in Wichita, KS

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Lead macOS security research, including Endpoint Security API telemetry, malware reverse engineering, attack emulation, EDR bypass research, and proof-of-concept development. Collaborate with Detection Engineering, Product, and Engineering to operationalize findings, track Apple platform changes, improve detection coverage, document risks, and mentor teammates. The role also involves building ephemeral research infrastructure and representing the company through technical publications, speaking, and media engagement.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.

Build and lead product and application security efforts, partnering with Product and Engineering on secure design, development, code reviews, vulnerability discovery, and security guardrails. Develop AI-native security tooling and support incident response, vulnerability management, penetration testing, and security operations. Help establish secure development practices and scalable security systems across Headway’s platform.

Leads cybersecurity due diligence for acquisitions, divestitures, investments, licensing arrangements, and strategic partnerships. Assesses target environments, identifies material technical and regulatory risks, translates findings into business recommendations, and supports transaction decisions, closing conditions, Day 1 security priorities, and post-close handoffs. Coordinates stakeholders, advisors, evidence reviews, reporting, risk escalation, and continuous improvement of cybersecurity diligence playbooks. Provides technical leadership and mentorship across concurrent, confidential transactions.

Leads acquisitions and divestitures cybersecurity operations across integrations, separations, partnerships, and other transactions. Oversees portfolio execution, resourcing, deal security enablement, executive reporting, post-close workstreams, risk and dependency management, process standardization, playbook maturity, and continuous improvement. Partners with cybersecurity, technology, legal, privacy, finance, corporate development, and integration teams while guiding employees, contractors, and cross-functional contributors in a global matrixed environment.

Provides security architecture and enablement across SaaS platforms, APIs, custom applications, data integrations, cloud environments, and AI workflows. Partners with product, engineering, data, architecture, identity, infrastructure, enterprise, and procurement teams to conduct threat reviews, develop secure-by-design patterns, assess vendors, implement guardrails, and manage risks. Translates security requirements into practical solutions, supports enterprise data strategy and M&A integration, and mentors teams as a trusted security advisor.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Own application security for backend services, APIs, cloud infrastructure, and edge systems handling financial transactions. Responsibilities include validating red-team findings, assigning severity, hardening services, implementing WAF and rate-limiting defenses, creating automated security configuration checks, expanding pull-request security gates, reviewing architectures, managing attack-surface coverage, and evaluating security tools. The role also partners with engineers and Security Operations to drive effective remediation.

Own and execute the application security program, including SIEM management, threat detection, architecture and code reviews, vulnerability management, security testing, incident response, forensic investigations, and security tooling. Partner with engineering and infrastructure teams to remediate vulnerabilities, promote secure coding, develop training, and improve enterprise security through cloud, container, compliance, and monitoring practices.

Own Deepgram’s privacy operations, security compliance, audit evidence, control mapping, security questionnaires, policies, and public trust documentation. Lead DPIAs, data-flow mapping, DSAR and deletion workflows, vendor reviews, SOC 2, ISO 27001, and PCI DSS audits. Partner with Engineering, Legal, Research, and Sales Engineering to verify technical claims, automate evidence collection, maintain accurate documentation, and translate privacy and AI regulations into practical requirements and enablement.

Build and automate security controls across bare-metal Linux infrastructure and AWS. Responsibilities include host hardening, vulnerability and patch management, container and CI/CD security, penetration testing, detection and incident response, access and log reviews, compliance evidence automation, and software supply-chain security. The role also supports customer security work and applies AI tooling to security operations.

Owns GitLab’s security policy and standards lifecycle, including drafting, approvals, exceptions, attestations, regulatory alignment, framework mapping, audits, and adherence measurement. Translates emerging regulations into actionable requirements, supports customer trust activities, and automates governance and evidence workflows using AI. Provides technical and program leadership across Security, Product, Legal, and Engineering while mentoring team members and shaping the security governance roadmap.

Own security risk identification, quantification, prioritization, and remediation across third-party risk, assessments, and security findings. Maintain risk registers, reporting, metrics, and remediation tracking while partnering with technical and business stakeholders. Lead AI risk management for ISO 42001 certification and build automation, scripting, and AI-enabled tools to improve GRC workflows. Monitor emerging risks, frameworks, regulations, and threat trends, communicating business-relevant risk insights to leadership.

Lead OT security monitoring and triage operations, investigate suspicious activity across industrial networks, tune detections, manage vulnerabilities and asset classification, and escalate findings to incident responders and threat hunters. Produce customer-facing reports, support platform operations, mentor analysts, and collaborate across cybersecurity teams. The role requires shift-based coverage, remote coordination, and expertise in network security with a strong interest in ICS/OT environments.

Sets the technical vision for enterprise security across cloud, identity, application, data, endpoint, and network environments. Leads security architecture, threat modeling, DevSecOps, incident response, compliance evidence, security roadmap planning, and AI security initiatives. Advises executives and cross-functional stakeholders, handles high-severity escalations, mentors security engineers, and strengthens healthcare security controls for AWS, Azure, FHIR, Medplum, Snowflake, HITRUST, HIPAA, and NIST requirements.

Manage and lead cybersecurity advisory engagements: implement GRC programs, assess ITGC and IT risk, develop remediation roadmaps, run incident response tabletop exercises, manage GRC platforms, conduct vendor risk reviews, develop policies/SOPs, mentor staff, and support business development.

Secure an integrated supply chain e-commerce platform across application, infrastructure, authentication, compliance, and AI agent layers. Responsibilities include threat modeling, vulnerability assessments, code reviews, PCI-DSS and GDPR controls, OAuth/SAML authentication, tenant isolation, secrets management, encryption, WAF and rate limiting, incident response, security training, and AI prompt-injection prevention. The intern will work remotely for three months under technical leadership and collaborate with development and DevOps teams.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Designs, operates, and improves cloud and infrastructure security across AWS and multi-cloud environments. Responsibilities include cloud governance, identity and access controls, network security, infrastructure as code, CI/CD and software supply-chain security, container and Kubernetes security, monitoring, threat modeling, incident response, and security automation. The role also contributes to AI security initiatives involving LLMs, AI agents, and MCP integrations, communicates risks across teams, leads complex initiatives, and mentors engineers.

Secure AI/ML models, data pipelines, and AI-enabled applications by conducting vulnerability assessments, threat modeling, incident response, and security reviews. Build guardrails, monitoring, detection, access controls, encryption, and data-segmentation measures. Partner with engineering and analytics teams throughout the AI development lifecycle, assess third-party AI tools, document remediation plans, and translate emerging threats such as prompt injection, data poisoning, jailbreaks, and model-supply-chain risks into practical mitigations.