Top Remote Cyber Security Jobs in Denver & Boulder, CO

Designs and develops IAM and security software, automation, APIs, and microservices. Integrates security into cloud and CI/CD environments, conducts code reviews and threat modeling, monitors security events, supports incident response, and advises teams on identity architecture and best practices. Requires extensive IAM administration, programming, cloud, containerization, and secure-coding experience.

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.

Partners with Sales to advise enterprise customers on cybersecurity, identity, access, asset visibility, exposure management, and risk solutions. Leads technical discovery, solution design, demonstrations, proof-of-value and proof-of-concept engagements, customer validation, training, and executive discussions. Translates technical capabilities into business outcomes, creates customer-facing documentation, supports events, and collaborates cross-functionally to advance sales opportunities and improve customer outcomes. Travel is typically 25–50%.

Leads technical pre-sales architecture for complex security solutions serving public-sector and commercial customers. Translates business, security, compliance, and technical requirements into solution designs, bills of materials, statements of work, estimates, pricing, assessments, and deployment plans. Conducts discovery sessions, architecture workshops, solution reviews, and customer presentations while partnering with sales, delivery teams, and security vendors. Mentors architects and sellers, supports regional customer activity, and travels throughout the Southeast as needed.

Architect and build production AI security systems spanning endpoint sensors and cloud-scale infrastructure. Lead autonomous cyber defense capabilities, including detection, threat hunting, response, adversary simulation, secure agent execution, and model evaluation. Establish technical direction, benchmarks, and safety practices while mentoring senior engineers and researchers. Carry frontier AI research into the Falcon platform and represent the company through publications, open source, standards, and industry collaboration.

Secure CrowdStrike’s software supply chain and code-hosting environments by assessing GitHub organizations, open-source integrations, repositories, dependencies, and third-party packages. Implement repository guardrails, secret scanning, access controls, and automation; investigate supply-chain threats such as typosquatting and dependency confusion; promote secure coding and open-source compliance; and collaborate with engineering teams on security initiatives.

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.

Build and operate secure AI platforms, agent workflows, and reusable automation patterns. Embed security into SDLC and PDLC through threat modeling, scanning, secrets detection, supply-chain controls, and automated reviews. Develop AWS identity, network, access, and infrastructure guardrails, including zero-trust and privileged-access automation. Own production services, monitoring, incident response, and on-call support while partnering with teams across the company to enable secure self-service workflows.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

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.

Secure Runpod’s multitenant GPU cloud infrastructure across bare-metal and virtualized environments. Responsibilities include designing workload and network isolation, hardening Linux kernels and container platforms, testing hypervisor and hardware security, developing low-level controls in C, Go, or Rust, securing GPU and PCIe interactions, and responding to infrastructure security incidents with forensic capabilities for ephemeral containers.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

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.

Build and operate security controls, telemetry, detections, and enforcement for NVIDIA’s large-scale EDA compute, storage, and networking infrastructure across on-premises and multi-cloud environments. Investigate threats, respond to incidents, automate secure configurations and compliance evidence, threat-model infrastructure, and manage security technology lifecycles. The role requires hands-on Linux, networking, programming, infrastructure security, and collaboration with infrastructure and security teams.

Builds secure AI and agentic cybersecurity tooling, transforming research prototypes into production-ready services. Responsibilities include developing backend services, APIs, CLI tools, automation, and integration patterns; defining MVPs for ambiguous security and identity challenges; collaborating across research, product, enterprise security, and platform teams; and applying offensive security and adversarial thinking to address AI-specific risks such as injection, tool misuse, unauthorized access, data exfiltration, and unsafe delegation.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

Develop and integrate network security software with firewalls, routers, switches, IPS, proxies, and other security devices. Responsibilities include gathering technical requirements, designing integrations, maintaining security-device test labs, assisting development and testing, creating test cases, troubleshooting complex integration issues, and documenting configurations. The role requires expertise in networking and security, packet analysis, major firewall vendors, virtualization, and regular expressions.

Conduct cybersecurity assessments and OT/ICS inventories at CONUS and OCONUS DoD facilities. Perform logical network scans, document topology and data flows, evaluate compliance with DoD cybersecurity standards and RMF requirements, identify vulnerabilities, and recommend remediation. The role also supports site-visit planning, stakeholder coordination, logistics, and closeout reporting.

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.

Develops secure, isolated attack scenarios across cloud, on-premises, and hybrid environments. Reproduces vulnerabilities, builds multi-step attack chains, creates automated graders and reward signals, and validates outcomes using system state and telemetry. The role also develops attack variants and benign comparisons to evaluate AI security agents, partnering with threat researchers, AI engineers, and environment engineers.

Designs and maintains security controls for blockchain, digital asset, application, cloud, and infrastructure environments. Responsibilities include threat modeling, cryptographic key management, application and API security, AWS and Kubernetes hardening, vulnerability management, monitoring, incident response, penetration testing, and security governance. The engineer collaborates with Cybersecurity, Engineering, DevOps, and Infrastructure teams to secure distributed systems and support regulatory requirements.

The Information Systems Security Engineer will secure a USPS information system modernization project by implementing federal security controls, conducting vulnerability assessments and penetration testing, integrating security into CI/CD pipelines, maintaining SSP, RMP, and POA&M documentation, monitoring cloud security tools, supporting incident response, and delivering security training. The role requires collaboration with development, operations, and federal security stakeholders while ensuring compliance with FISMA, NIST RMF, and FedRAMP standards.