Top Cyber Security Jobs in San Diego, CA

Designs and hardens on-device security for Specs, including access control, secure IPC, sandboxing, trusted execution, cryptography, and platform protection. Develops privacy and security controls for on-device AI, protects sensitive data and model integrity, and secures OS, firmware, applications, services, sensors, and cloud-connected surfaces. Improves fuzzing infrastructure, automated security testing, threat modeling, vulnerability assessment, code review, and continuous validation across embedded and AI/ML system boundaries.

Lead hands-on product security architecture across GitLab, including design reviews, threat modeling, systemic risk remediation, security standards, prototypes, and reusable developer guardrails. Partner with engineering and product leaders, secure distributed systems and software supply chains, guide AI coding tool security, mentor security engineers, and influence technical direction through proactive architecture and clear communication.

Lead Toast’s product and platform security organization, overseeing security platform engineering, application and cloud security, secure development practices, offensive security, vulnerability management, hardware security, and developer enablement. Partner with product and engineering leaders to establish secure defaults and scalable guardrails while reducing developer friction. Manage and grow a multi-team security engineering organization, expand security champions and tooling adoption, and align security posture with business and product priorities.

Provides proactive technical account management for strategic cybersecurity customers. Responsibilities include customer onboarding, platform training, health checks, issue resolution, escalation management, success planning, knowledge-base development, renewal-risk mitigation, and expansion support. The role serves as a customer advocate while collaborating with support, engineering, and sales teams. Candidates need cloud, application infrastructure, security, incident response, forensics, networking, and cloud architecture expertise, along with strong communication and customer-success skills.

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.

Triage bug bounty and vulnerability management reports, validate findings, assess severity, identify duplicates, and coordinate remediation through closure. Collaborate with PSIRT, engineering, legal, communications, customer success, and security teams. Support CVE assignments as a CNA representative, communicate with researchers and customers, maintain accurate records, monitor operational metrics, and improve vulnerability-handling procedures, runbooks, and documentation.

Lead cryptographic security assessments of protocols, libraries, applications, and high-assurance systems. Analyze advanced cryptographic constructions, identify design and implementation weaknesses, validate exploitability, and recommend remediation. Build testing and analysis tools, manage client delivery, write precise technical reports, mentor engineers, contribute to methodologies and services, and support open-source research and technical publications.

Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.

Partner with sales teams to win strategic data security opportunities. Present technical solutions, gather customer requirements, lead product evaluations, configure solutions, and design evaluation test plans. The role requires extensive pre-sales experience, security and networking expertise, data protection and web technology knowledge, and collaboration across matrixed go-to-market and partner teams.

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.

Build and lead Motive’s globally distributed SOC, owning detection engineering, 24/7 incident response, threat hunting, intelligence, security analytics, endpoint protection, cloud and workload monitoring, and AI-driven automation. Establish operating models, coverage strategies, runbooks, telemetry platforms, incident command processes, and measurable detection and response capabilities across corporate and production environments.

Leads Motive’s global security compliance, privacy, risk, audit, customer trust, and AI governance functions. Builds integrated controls across ISO, SOC, PCI DSS, FedRAMP, GDPR, and related frameworks; manages audits, privacy operations, international regulatory readiness, customer security reviews, policies, training, and human risk. The role also establishes AI-first automation, AI governance, and a path to FedRAMP while leading a distributed team and partnering across Legal, Engineering, Product, IT, Finance, Sales, and Customer Success.

The Senior Security Engineer will secure networks, systems, applications, databases, and cloud infrastructure; embed security controls into build pipelines; manage vulnerabilities and remediation; respond to incidents through on-call rotation; and promote security awareness across engineering. The role requires cloud security, infrastructure-as-code, application security, REST API protection, IAM, and tools including AWS, Kubernetes, Terraform, Wiz, Exaforce, and CrowdStrike.

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

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.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, and communicate findings to technical, executive, legal, and compliance stakeholders. Build investigation scripts, runbooks, automated workflows, and security operations capabilities. Mentor engineers and support insider threat initiatives while collaborating across teams on cloud security and incident response.

The VP of Security will lead Engine’s security strategy, engineering, operations, AI security, corporate IT, and enterprise trust. Key priorities include building an AI security function, securing agent identities and AI gateways, leading AppSec, SecOps, and CloudSec, strengthening identity and access controls, managing corporate IT, supporting SOC 2 and PCI controls, and representing security to executives, the board, and enterprise customers.

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.

Assesses customer Falcon environments, identifies security-standard misalignment, recommends remediation, and communicates directly with customers. Documents and resolves issues within SLAs, prepares service reports, partners with internal teams, and coordinates troubleshooting. The role requires cybersecurity experience, customer-facing communication, knowledge of Windows, Linux, and macOS, threat detection and incident response expertise, relevant education or experience, and cybersecurity certifications. Government customer requirements may include periodic drug testing and background and fingerprint checks.

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.

Deploy and configure Rapid7 security products for post-sales customers, applying security best practices and documenting implementation decisions. Build custom dashboards, reporting workflows, integrations, and data pipelines using Python, SQL, and REST APIs. Support pre-sales scoping, resolve deployment challenges, collaborate across teams, improve internal delivery processes, and occasionally travel for customer engagements.

Leads and mentors a product security engineering team while remaining hands-on. Owns certification, accreditation, DISA STIG hardening, SOC 2, ISO 27001, audit readiness, vulnerability remediation, security tooling, and authorization initiatives. Coordinates with Compliance, Legal, Sales Engineering, and customers; tracks remediation SLAs and certification posture; establishes evidence collection processes; and translates technical security strategy into an executable roadmap.