Top Cybersecurity Jobs in CO

Leads multi-tiered threat response teams responsible for detecting, investigating, and mitigating cybersecurity incidents. Oversees security monitoring across SIEM, SOAR, UEBA, EDR, and IDS/IPS platforms; executes incident response plans; improves detection and response metrics; delivers leadership reporting; and provides training, mentorship, and performance management. The role also applies AI to automate alert triage and threat intelligence workflows while coordinating incident response across Information Security.

Leads and mentors technical program managers delivering enterprise IT security and infrastructure programs. Establishes governance, executive reporting, risk mitigation, and accountability frameworks while managing budgets, scope, schedules, vendors, contracts, and cross-functional engineering dependencies. Aligns security, infrastructure, software engineering, vendors, and executives on roadmaps and delivery commitments. Drives adoption of AI-enabled automation for program monitoring, reporting, resource allocation, and operational decision-making.

Lead the enterprise information security architecture strategy, roadmap, standards, governance, and security-by-design practices across cloud, hybrid, and on-premise environments. Oversee threat modeling, zero-trust principles, security baselines, architecture escalations, vulnerability mitigation, vendor evaluations, compliance mapping, and strategic program delivery. Partner with engineering, product, network operations, and executive leadership while managing security architecture teams and translating complex risks into business impacts.

Design and deploy enterprise IAM and Zero Trust architectures, integrate AI-driven threat detection and automation, lead security intake for new initiatives, conduct vulnerability assessments and penetration testing, and establish metrics to measure and remediate security control effectiveness across corporate and vendor environments.

Design, build, and operate secure LLM platforms and RAG pipelines for security analytics and automation. Develop agentic workflows, continuous monitoring, governance, and adversarial testing to mitigate AI risks and integrate protections into security tooling and cloud-native ML pipelines.

Build and secure generative AI platforms, predictive risk models, real-time automation pipelines, and dashboards for Third Party Risk Management and broader GRC use cases. Develop RAG architectures, agentic workflows, evaluation frameworks, guardrails, and continuous evidence-collection systems. Apply Python, compliance frameworks, quantitative risk methodologies, and cloud-native security practices to transform fragmented vendor risk data into actionable forecasts and executive reporting.