Top Remote Cyber Security Jobs in Albuquerque, NM

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Lead macOS security research, including Endpoint Security API telemetry, malware reverse engineering, attack emulation, EDR bypass research, and proof-of-concept development. Collaborate with Detection Engineering, Product, and Engineering to operationalize findings, track Apple platform changes, improve detection coverage, document risks, and mentor teammates. The role also involves building ephemeral research infrastructure and representing the company through technical publications, speaking, and media engagement.

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.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.

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.

Provides security architecture and enablement across SaaS platforms, APIs, custom applications, data integrations, cloud environments, and AI workflows. Partners with product, engineering, data, architecture, identity, infrastructure, enterprise, and procurement teams to conduct threat reviews, develop secure-by-design patterns, assess vendors, implement guardrails, and manage risks. Translates security requirements into practical solutions, supports enterprise data strategy and M&A integration, and mentors teams as a trusted security advisor.

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.

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.

Own Deepgram’s privacy operations, security compliance, audit evidence, control mapping, security questionnaires, policies, and public trust documentation. Lead DPIAs, data-flow mapping, DSAR and deletion workflows, vendor reviews, SOC 2, ISO 27001, and PCI DSS audits. Partner with Engineering, Legal, Research, and Sales Engineering to verify technical claims, automate evidence collection, maintain accurate documentation, and translate privacy and AI regulations into practical requirements and enablement.

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.

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.

Provides information security support for federal healthcare systems, including security architecture reviews, firewall and infrastructure initiatives, security impact assessments, mitigating controls, system security plans, SOPs, and POA&M remediation. Advises development teams and customer security organizations on federal security requirements, emerging practices such as Zero Trust and SBOM, network monitoring, authentication, and data security. The role is remote and requires passing an IHS background check for Public Trust eligibility.

The Security Compliance Analyst manages cybersecurity, data privacy, classification, retention, governance, vulnerability assessments, incident response, and ATO documentation. Responsibilities include monitoring cloud environments and system logs, using SIEM tools, analyzing security risks, supporting security policies, reporting incidents, and ensuring compliance throughout the system lifecycle. The role also collaborates with Agile teams and stakeholders to protect sensitive data and resolve information assurance issues.

Designs, deploys, operates, and improves security infrastructure across AWS and on-premises environments. Responsibilities include AWS security controls, hybrid-cloud architecture, network segmentation, firewalls, Infrastructure as Code, automation, compliance support, monitoring, incident response, troubleshooting, and lifecycle management. The engineer will work with AWS security services, Palo Alto technologies, Terraform, scripting, DevSecOps practices, and frameworks including NIST, FedRAMP, and FISMA. The role is mostly remote with occasional onsite work near Rockville, Maryland.

Maintains the operational security posture of classified information systems supporting Collateral, SCI, and SAP environments. Responsibilities include authorization package management, compliance reviews, configuration change impact analysis, audit monitoring, vulnerability identification, incident handling, security documentation, system recovery oversight, and coordination with ISSM and authorization officials. The role requires SAP experience, TS/SCI clearance, eligibility for a CI polygraph, and on-site work with occasional travel.

Build and maintain hardened, minimal container images across Linux distributions and application runtimes. Remediate CVEs, troubleshoot package and dependency issues, reduce attack surfaces, and develop automation for image building, scanning, testing, versioning, SBOM generation, and publishing. Validate compatibility with Kubernetes and containerized environments, collaborate with infrastructure and security teams, establish hardening standards, and document curated-image usage.

Provides technical pre-sales leadership for data security solutions, including demos, proofs of concept, architecture workshops, and secure cloud or hybrid deployments. Advises customers on data security posture, Microsoft Purview, AI application security, and scalable architectures. Builds developer and platform-lead relationships, resolves technical blockers, develops technical win strategies, and collaborates with product engineering. Represents Microsoft in customer and developer communities.

Research cloud and SaaS security vulnerabilities, develop proof-of-concepts, threat detections, and analytical algorithms, and hunt threat actors and insider threats. Analyze behavioral activity and large datasets, optimize detection algorithms, advise customers on hardening environments, collaborate with R&D teams, and publish cybersecurity research and threat insights.

Serves as a security subject matter expert supporting sales teams and customers. The role assesses security environments, facilitates incident response and investigations, demonstrates Varonis capabilities, supports threat detection evaluations, develops technical enablement materials, communicates product updates, and gathers customer feedback for product improvement. Strong expertise in cloud and self-hosted network security, Microsoft security ecosystems, identity management, SIEM, SOAR, and threat detection is required.

Leads enterprise security programs for a large-scale federal multi-tenant cloud environment. Responsibilities include security strategy, risk assessment, incident response, compliance, vulnerability monitoring, cloud security, DevSecOps integration, resource and financial management, stakeholder engagement, and executive communication. The role leads multidisciplinary teams, supports FedRAMP, FISMA, NIST, and Zero Trust compliance, and serves as the primary security contact for government customers.

Own and improve application security across applications, APIs, cloud services, and CI/CD pipelines. Manage penetration testing programs, vulnerability remediation, security scanning, WAF and API protections, threat modeling, secure design reviews, incident response, and compliance evidence. Partner with developers, vendors, cloud teams, and compliance stakeholders to close critical findings and embed secure delivery practices through automation and security AI tooling.