Top Hybrid Cybersecurity Jobs in CO

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 product operations for Falcon Complete by integrating new features, driving technical and process optimizations, leading cross-functional projects, managing Agile workflows, defining metrics and governance, documenting technical specifications, and collaborating with product and engineering to ensure seamless operational integration and adoption.

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.

Delivers strategic cybersecurity advisory engagements for management-level clients. Assesses and develops security and incident response programs, creates exercises and scenarios, identifies emerging cyber trends, and produces reports, presentations, recommendations, and findings. The consultant also contributes to thought leadership and methodology development while managing multiple projects independently and traveling to client sites up to 30% of the time.

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.

Own AWS cloud security posture and vulnerability management using Wiz and AWS-native services. Build Infrastructure as Code guardrails, secure CI/CD pipelines, automate vulnerability workflows, and operate WAF protections. Partner with DevOps and engineering on IAM, network segmentation, containers, secrets, data exposure, telemetry, threat modeling, and application security. Drive projects independently while reducing organizational risk.

Staff Security Engineer partners with Product, Engineering, and DevOps to embed security into application architecture, cloud infrastructure, and CI/CD processes. Responsibilities include secure design and code review, vulnerability remediation, AWS cloud security, WAF tuning, security automation in Python, SIEM and log pipeline contributions, endpoint controls, and security standards. The role requires deep expertise in application security, cloud security, or security automation, plus threat modeling and independent project ownership.

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.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.