Top Security Engineer Jobs in Denver & Boulder, CO

Designs and operates production-grade agentic AI platforms with multi-agent orchestration, model-agnostic integrations, retrieval, asynchronous execution, evaluation, observability, and cloud-native deployment. Applies AI security practices including least privilege, sandboxing, authorization, secrets management, guardrails, prompt-injection protection, auditability, and policy enforcement. Requires deep expertise across agentic systems, system architecture, platform engineering, AI safety, or related disciplines.

Lead the architecture and engineering of production-grade agentic AI platforms for offensive cybersecurity operations. Design multi-agent workflows, execution harnesses, memory, tool calling, model routing, retrieval, and enterprise integrations. Establish security, evaluation, observability, reliability, and AI safety practices, including sandboxing, authorization, secrets management, guardrails, and defenses against prompt injection and data leakage. Mentor engineers, guide cross-functional architecture decisions, and communicate tradeoffs to senior leadership.

Build and refine security detections, logging, telemetry, SIEM pipelines, and incident response capabilities across cloud, corporate, and SaaS environments. Conduct threat hunting, threat modeling, alert triage, and response engineering. Develop automation and AI-assisted security tooling, maintain runbooks and documentation, participate in on-call rotations, and collaborate with engineering and business teams on security initiatives.

Own internal offensive security assessments across applications, APIs, cloud infrastructure, and corporate systems. Plan and execute penetration tests, validate vulnerabilities safely, review source code, and partner with engineering teams through remediation and retesting. Build automated security testing tools and workflows, lead adoption of AI-assisted offensive security capabilities, support third-party testing, improve detection and incident response, and participate in on-call responsibilities.

Partner with product and engineering teams to embed security throughout the product lifecycle. Conduct threat modeling, architecture reviews, source-code security analysis, vulnerability identification, and secure test development. Advise on authentication, compliance, and business security requirements; automate security processes; identify emerging vulnerabilities; and coordinate cross-team projects through completion.

Build and govern Compa’s secure AI foundation across identity, access, data, endpoints, SaaS, cloud, and networks. Secure non-human identities, agent access, data flows, AI integrations, and third-party models. Design controls for prompt injection, data exfiltration, excessive agency, OAuth abuse, and unsafe tool use. Implement logging, detection, enforcement automation, and enterprise security architecture while partnering with technical, legal, privacy, and business teams.

Build production security tooling and infrastructure using Terraform, Bash, Go, and Python. Partner with product engineers to design secure features, review Terraform and IAM configurations, automate security workflows, and advise teams on pragmatic vulnerability remediation. The role emphasizes developer enablement, scalable security libraries and tools, cloud security, containerization, and responsible AI use.

Leads enterprise network security architecture, engineering, and modernization across cloud and on-premises environments. Designs firewalls, WAF, DDoS protection, Azure connectivity, microsegmentation, Zero Trust, SASE, and SD-WAN solutions. Serves as a Level 3 incident escalation point, drives root-cause analysis and resilience improvements, establishes automation and DevSecOps standards, and mentors engineers. Partners with stakeholders and vendors to deliver secure, scalable network security platforms.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

Build, test, automate, and deploy security controls for AWS and Azure cloud workloads. Assess cloud security posture using CSPM tools, integrate controls into CI/CD and infrastructure pipelines, validate compliance, and support production readiness. Collaborate with cloud architects, SOC, product, infrastructure, and DevOps teams; document solutions, analyze vulnerabilities, guide junior engineers, and contribute to security roadmap planning.

Designs and audits application security controls for mission-critical space systems. Responsibilities include vulnerability management, secure code reviews, security automation using SAST, SCA, and DAST tools, incident response playbooks, compliance documentation, security training, cloud security, and collaboration with engineering teams to implement secure architectures meeting DoD standards.

Designs and audits application security controls for mission-critical space systems supporting government authorization and DoD compliance. Responsibilities include security architecture documentation, vulnerability management, secure code reviews, SAST/SCA/DAST tooling, incident response playbooks, security training, cloud security, and collaboration with engineering teams to implement secure coding practices and Zero Trust controls.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Build and operate central security systems, automation, tooling, and controls across cloud infrastructure, identity, access, products, partners, and vendors. Develop AI-assisted security workflows, lead external assessments through verified remediation, identify and validate vulnerabilities, guide engineering teams, and participate in incident response. The role requires production security engineering experience, strong programming skills, cloud security expertise, and fintech, payments, or crypto experience.

Design, build, and operate secure LLM platforms, RAG pipelines, and agentic workflows for security analytics and threat detection. Develop AI security controls, monitoring models, governance frameworks, and adversarial testing protocols. Protect AI systems against prompt injection, unauthorized access, model drift, and adversarial abuse while integrating automation into security operations. Requires Python, enterprise LLM platform, cloud-native security, and AI threat-modeling expertise.

Conduct application security assessments, threat modeling, code reviews, and manual penetration testing across web applications, APIs, cloud services, appliances, and AI-enabled features. Coordinate external penetration tests, validate vulnerabilities, track remediation, and verify fixes. Improve SAST, SCA, secrets detection, container scanning, SBOM, supply-chain, and CI/CD security workflows while advising Engineering on secure design and risk prioritization.

Lead security architecture and design reviews, define standards for protecting sensitive healthcare data, build automated defenses, improve monitoring and incident response, redirect technical strategy, translate complex security objectives into engineering requirements, and mentor engineers through rigorous code and design reviews.

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.

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.

Own and improve network, firewall, cloud, endpoint, identity, email, and SaaS security controls. Responsibilities include firewall administration, VPNs, segmentation, secure architecture, traffic and log analysis, incident investigation, vulnerability remediation, security monitoring, technical project support, compliance evidence, and automation. The role collaborates with Infrastructure and DevOps teams, troubleshoots complex connectivity and security issues, and applies least-privilege, Zero Trust, and defense-in-depth principles.

Manages enterprise information assurance and cybersecurity support for DHS/TSA, including incident response, vulnerability management, risk and compliance services, RMF-based assessment and authorization, security audits, POA&M remediation, and security architecture. Coordinates cybersecurity teams, stakeholders, system owners, and government offices while monitoring performance, identifying risks, and recommending mitigation strategies.

Lead security reviews, code audits, penetration testing, vulnerability research, and mitigation efforts for Microsoft Windows services. Develop reusable security tools and agents, identify attack vectors and architectural risks, demonstrate exploit impact, and collaborate with product engineering teams to design scalable defenses and improve security investments.