Top Remote Cyber Security Jobs in Sacramento, CA

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.

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.

Analyze in-the-wild exploits and perform deep reverse engineering to track adversaries. Build detection, automation, and classification frameworks; develop host/network signatures and tooling. Produce high-quality intelligence reports and briefings, collaborate across teams, and contribute to mitigation and large-scale hunting efforts.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.

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.

Own security risk identification, quantification, prioritization, and remediation across third-party risk, assessments, and security findings. Maintain risk registers, reporting, metrics, and remediation tracking while partnering with technical and business stakeholders. Lead AI risk management for ISO 42001 certification and build automation, scripting, and AI-enabled tools to improve GRC workflows. Monitor emerging risks, frameworks, regulations, and threat trends, communicating business-relevant risk insights to leadership.

Lead OT security monitoring and triage operations, investigate suspicious activity across industrial networks, tune detections, manage vulnerabilities and asset classification, and escalate findings to incident responders and threat hunters. Produce customer-facing reports, support platform operations, mentor analysts, and collaborate across cybersecurity teams. The role requires shift-based coverage, remote coordination, and expertise in network security with a strong interest in ICS/OT environments.

Leads vulnerability management, threat hunting, incident response, security monitoring, and risk mitigation. Evaluates security controls and solutions across on-premises and cloud environments, supports audits and regulatory compliance, and advises technical and business teams on information security requirements. The role also develops security processes, manages antivirus, malware, and DLP policies, trains colleagues on cyberattack tactics, mentors junior staff, and escalates unresolved security issues to leadership.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.

Designs vulnerable and secure application fixtures addressing OWASP LLM risks, creates deterministic tests and security manifests, develops answer keys for AI and scanner evaluation, and improves AppSec assessment pipelines. The role also evaluates traditional and agent-based security architectures, documents technical findings, and collaborates on peer reviews and actionable security recommendations.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.