Top Hybrid Cybersecurity Jobs in CO

Leads AI-focused application security across software, cloud, hardware, and firmware. Conducts security assessments and AI-driven red-team exercises, develops secure-code fixes and AI-enabled security tooling, validates controls for LLM and agentic systems, and shapes organization-wide AI security strategy. Partners with engineering, hardware, and executive stakeholders to identify threats, implement mitigations, and safely adopt AI within security operations.

Supports customers using Rapid7’s Vector Command Red Team service through attack surface analysis, reconnaissance, OSINT, reporting, customer communications, and request prioritization. The role coordinates with Red Team, MDR, and MVM teams; conducts manual network and service reconnaissance; develops scripts to analyze attack surface data; monitors customer exposures; and performs entry-level external penetration testing. It also includes customer onboarding, monthly reporting, update calls, and translating technical security concepts for nontechnical stakeholders.

Supports information security initiatives through automation for vulnerability management, detection engineering, cloud identity management, and SOC 2/SOX ITGC compliance. Learns security tooling, identifies process improvements, and performs Level 1 security alert triage and investigations. The internship is full-time for 12 weeks in summer 2027 and requires hybrid work in Denver three days per week.

Owns security trust and compliance programs, audits, policies, control design, continuous monitoring, evidence pipelines, and security automation. Leads framework implementations, identifies risks, manages auditor relationships, develops control health metrics, and mentors practitioners without direct authority. The role requires deep knowledge of security and privacy frameworks, GRC engineering, cloud infrastructure, SaaS environments, identity governance, and modern security practices.

Lead complex security investigations across endpoint, identity, cloud, email, SaaS, and network environments. Own incidents through containment, remediation coordination, documentation, and post-incident review. Tune detections, queries, dashboards, workflows, and SOAR playbooks; improve SOC metrics, threat coverage, alert fidelity, and response processes. Partner on vulnerability and cloud-risk remediation, participate in global on-call rotation, use approved AI capabilities responsibly, and mentor analysts.

Own technology compliance and security operations across AI governance, SOC 2, risk assessments, incident response, business continuity, vulnerability management, access reviews, and penetration testing. Manage client security questionnaires, vendor assessments, third-party risk, and audit coordination while monitoring security tools and coordinating remediation with engineering. Advise clients, auditors, regulators, legal teams, and compliance stakeholders on technical security matters.

Supports IT solution design and implementation, analyzes cybersecurity protocols and recommends improvements, and collaborates with data science teams to analyze data and generate actionable insights. The internship provides hands-on experience, mentorship, professional development, and exposure to aerospace technology. Candidates must be enrolled in a relevant bachelor's or higher degree program, maintain a 3.0 GPA, and graduate in December 2027 or later.

Lead Zeta’s AI-native Application Security function by defining strategy, building the team, embedding security agents and policy-as-code into IDEs, pull requests, CI/CD, and AI/ML pipelines, and overseeing continuous threat modeling and validation. Own security for AI systems, models, prompts, and agents, including adversarial testing for prompt injection, model abuse, and data leakage. Mentor engineers and promote automated, secure software development practices.

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.

Own and scale IT General Controls across NetSuite, Workday, Salesforce, and related enterprise applications. Lead access governance, segregation-of-duties processes, change management, audit readiness, evidence collection, and remediation. Partner with Internal Audit, External Audit, Security, Finance, and application owners on SOX compliance. Develop AI-native continuous controls monitoring, automated testing, anomaly detection, and governance for internal AI systems while modernizing the broader controls environment.