Top Remote Security Engineer Jobs in Denver & Boulder, CO

Own the security architecture and implementation of Datadog’s Bits Code cloud coding agent from design through production. Build threat models for agentic risks such as prompt injection, secure untrusted workload execution through sandboxing, develop security libraries, guide engineering processes, and support production operations. Collaborate across engineering, product, infrastructure, and security teams while making pragmatic trade-offs and participating in on-call responsibilities.

Serve as an embedded security partner to business, product, data, and technology teams. Assess architectures, conduct threat reviews, develop secure-by-design patterns, guide SaaS and vendor selection, and translate security requirements into practical controls. Support identity, infrastructure, AI workflows, data strategy, M&A integrations, and automated guardrails while enabling teams through training and collaboration.

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.

Own application security for backend services, APIs, cloud infrastructure, and edge systems handling financial transactions. Responsibilities include validating red-team findings, assigning severity, hardening services, implementing WAF and rate-limiting defenses, creating automated security configuration checks, expanding pull-request security gates, reviewing architectures, managing attack-surface coverage, and evaluating security tools. The role also partners with engineers and Security Operations to drive effective remediation.

Owns Cleo’s application and product security strategy across SaaS and customer-hosted products. Responsibilities include maturing the SSDLC, threat modeling, security scanning, vulnerability triage, penetration testing, coordinated disclosure, CVE management, product security controls, customer-facing advisories, and NIST CSF evidence. The role also leads security enablement, roadmap prioritization, AI security reviews, and hands-on exploit reproduction and patch validation while guiding engineers and security partners.

Build and automate security controls across bare-metal Linux infrastructure and AWS. Responsibilities include host hardening, vulnerability and patch management, container and CI/CD security, penetration testing, detection and incident response, access and log reviews, compliance evidence automation, and software supply-chain security. The role also supports customer security work and applies AI tooling to security operations.

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.

Conduct application security assessments, discover and validate vulnerabilities, analyze complex codebases, build custom security tooling, perform threat modeling and architecture reviews, and deliver actionable findings to clients. Independently own assessment workstreams, develop proof-of-concept exploits, communicate technical conclusions, review team work, and contribute to security research, open-source tools, and technical writing.

Conduct application security assessments, discover and validate vulnerabilities, analyze code and architectures, perform threat modeling, build security tooling, and develop proof-of-concept exploits. Own scoped assessment components from discovery through client delivery, communicate findings and remediation guidance, and contribute to security research, open-source tools, and technical documentation. The role requires hands-on coding, vulnerability research, memory-corruption knowledge, operating-system familiarity, and independent technical investigation.

Operate application security across the SDLC, including secure design, code reviews, threat modeling, API security, DevSecOps tooling, CI/CD security gates, cloud and container security, vulnerability management, and risk communication. Partner with engineering teams on secure coding standards, AWS, Kubernetes, Terraform, mobile ecosystems, and responsible AI integration. Participate in an on-call rotation and develop scalable security platforms, paved roads, documentation, and developer training.

Lead insider risk detection engineering and investigations using EDR/XDR, UEBA, SIEM, and SOAR tools. Refine detection rules, reduce alert noise, close coverage gaps, manage investigations, develop playbooks, document evidence, mentor analysts, and collaborate discreetly with HR, Legal, business leaders, and executives. The role also requires investigative workflow automation using Python or JavaScript and ownership of scalable security processes.

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

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.

Protect corporate data through DLP implementation, tuning, alert review, false-positive reduction, and control optimization across web, endpoint, email, cloud, and SaaS environments. The engineer will review data protection programs, improve monitoring and blocking controls, collaborate with business partners, and use automation and emerging AI tools to strengthen security operations.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

Build and maintain behavioral threat detections across GitLab corporate, cloud, SaaS, and customer environments. Identify MITRE ATT&CK coverage gaps, develop and troubleshoot SIEM detections, orchestrate AI agents across the detection lifecycle, and improve detection quality through automation. Collaborate with incident response, red teams, threat intelligence, and engineering teams on threat hunting, purple teaming, root-cause analysis, and security observability.

Own and execute the application security program, including SIEM management, threat detection, architecture and code reviews, vulnerability management, security testing, incident response, forensic investigations, and security tooling. Partner with engineering and infrastructure teams to remediate vulnerabilities, promote secure coding, develop training, and improve enterprise security through cloud, container, compliance, and monitoring practices.

Analyze, debug, and secure diverse codebases; implement features; refactor legacy software; conduct audits and penetration tests; optimize backend performance; and document findings to improve AI training datasets.

Designs and integrates secure information systems, cloud, and defense architectures; leads federal NIST RMF and ATO processes; implements security controls; performs vulnerability, threat, and risk assessments; advises engineering and program teams; and manages continuous monitoring, compliance, audit, and patch-management activities.

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.

Own Hightouch’s application security posture as the first dedicated security hire. Secure multi-tenant systems, sub-tenant access controls, distributed architecture, internet-facing APIs, and multi-region, multi-cloud infrastructure. Lead threat modeling, compute isolation, rate limiting, abuse detection, authorization, privacy controls, and security program initiatives. The role is highly hands-on, emphasizing code-level fixes, architecture influence, roadmap ownership, and collaboration with engineering teams.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Owns compliance documentation and security control narratives for an Agentic AI platform. Responsibilities include authoring System Security Plans, managing POA&Ms, coordinating audit evidence, supporting RMF and ATO activities, maintaining policies and SOPs, and partnering with cloud, platform, and security engineers. The role validates that documentation reflects implemented infrastructure and supports CMMC, FedRAMP, DoD, and NIST-aligned compliance efforts.

Owns GitLab’s security policy and standards lifecycle, including drafting, approvals, exceptions, attestations, regulatory alignment, framework mapping, audits, and adherence measurement. Translates emerging regulations into actionable requirements, supports customer trust activities, and automates governance and evidence workflows using AI. Provides technical and program leadership across Security, Product, Legal, and Engineering while mentoring team members and shaping the security governance roadmap.