Top Hybrid Cybersecurity Jobs in CO

Partner with Account Executives to lead technical conversations and demos, run Proof of Values, and articulate CrowdStrikes platform value to technical and executive audiences. Support pre-sales activities across endpoint security, cloud, identity, and AI-driven threat detection while learning and evangelizing new product capabilities.

Detect, investigate, and respond to security incidents across Windows, macOS, and Linux. Perform malware and forensic analysis, develop detection and remediation processes, produce customer-facing reports and recommendations, and contribute to public thought leadership. Work hybrid on a 4x10 schedule with weekend coverage and collaborate with customers and internal teams to contain and remediate threats.

Embedded technical advisor who partners with strategic customers to plan, deploy, optimize, and support Next-Gen SIEM environments. Responsibilities include data ingestion, detection engineering, dashboarding, migrations from legacy SIEMs, troubleshooting, health checks, automation, and customer enablement through mentoring and training.

Lead KPA's enterprise security platforms and technical security initiatives across cloud, identity, endpoints, network, and DevOps. Own vulnerability management, incident response, SOC 2 compliance, vendor security assessments, and security automation. Partner with IT and DevOps to embed security in CI/CD, IaC, containers, and cloud workloads while improving posture through detection engineering, automation, and governance.

Design and implement secure AWS-based systems, integrate DevSecOps practices, manage security incidents, run vulnerability assessments, and support CI/CD using CloudFormation, Terraform, GitHub, and Jenkins while collaborating with clients and cross-functional teams.

Lead and grow a security engineering team to design and operate cloud-native security controls, drive DevSecOps practices, conduct threat modeling and incident response, partner cross-functionally on security roadmaps, and ensure compliance with frameworks (NIST, SOC 2, ISO, etc.). Responsible for vulnerability management, identity and access controls, observability/SIEM, and security automation.

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.

Design, implement, and support enterprise identity and access management using Microsoft Entra. Build controls for Conditional Access, MFA, identity governance, privileged access, authentication modernization, and Zero Trust. Develop PowerShell automation for identity lifecycle and governance, partner with technical and business teams, improve security operations, and mentor engineers. The role also includes on-call participation and occasional after-hours work.

Build and operate security log pipelines, SIEM detections, endpoint controls, security automation, and internal tooling across AWS, macOS, Windows, CI/CD, and infrastructure repositories. Develop primarily in Python, implement Terraform-based infrastructure and policy-as-code safeguards, integrate security tools through APIs, and embed scanning and secrets detection into developer workflows. Own the reliability and coverage of security platforms while independently driving projects and implementing fixes directly in systems managed by other teams.

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.

Lead and scale an AI Security incubation team to drive technical GTM, recruit and mentor principal AI security specialists, build repeatable POVs and sales playbooks, advise C-level customers on secure AI deployments (RAG, agents, prompt workflows), and channel field insights into product and engineering roadmaps while supporting high-value deals.