Top Senior Cyber Security Jobs in Los Angeles, CA

Leads enterprise AI Security and GenAI data protection, owning the AI Gateway from evaluation through deployment and ongoing operations. Designs controls for prompts, uploads, browser traffic, copilots, agents, and integrations; implements monitoring, coaching, redaction, quarantine, and blocking. Integrates telemetry with security and identity platforms, establishes governance and exception processes, measures effectiveness, supports audit readiness, and partners with business and technology teams to enable responsible AI adoption.

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.

Design, secure, administer, and improve on-premises, cloud, and hybrid infrastructure. Manage servers, networks, operating systems, virtualization, firewalls, endpoints, and monitoring tools. Strengthen security controls, investigate incidents with a third-party SOC, manage vulnerabilities and risks, maintain documentation, and lead infrastructure and security projects including upgrades, migrations, automation, and tool deployments.

Designs and implements secure architecture across cloud, on-premises, hybrid, application, infrastructure, and AI-enabled environments. Defines security controls, governance requirements, and enterprise guardrails; supports cloud transformation and emerging AI adoption. Leads architecture reviews, ensures regulatory and policy compliance, and collaborates with architecture, engineering, development, cybersecurity, compliance, risk, and operations teams to identify and mitigate security risks.

Designs and assesses security for mission-critical software, embedded, hardware, sensor, and edge-computing platforms. Responsibilities include secure architecture, threat modeling, risk assessments, SSDLC integration, compliance and authorization support, security documentation, testing coordination, vulnerability remediation, system hardening, and collaboration with engineering, infrastructure, DevSecOps, and government stakeholders.

Owns end-to-end security posture, compliance controls, DevOps automation, reliability, incident response, and infrastructure operations. Responsibilities include IAM, secrets, network security, SOC 2 audit readiness, CI/CD, Kubernetes and cloud security, monitoring, and securing GPU infrastructure across cloud and colocation environments. The role requires production systems experience, strong automation skills, operational judgment, and the ability to improve security without slowing engineering delivery.

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.

Provides pre-sales technical support and technical account management for Vectra’s cybersecurity platform. Leads customer discovery, product demonstrations, proofs of concept, technology reviews, integrations, and security architecture discussions. Builds technical relationships with customers and channel partners, supports sales teams, collaborates on deployments and product projects, and maintains expertise in security technologies, networking, cloud security, attacker progression, incident response, and competitive offerings. Regional travel is required as needed.

Design and guide security architecture for NVIDIA networking firmware and embedded subsystems. Responsibilities include threat modeling, analyzing firmware and hardware interactions, defining lifecycle security features, translating threats into requirements, partnering with hardware architects, and driving secure firmware development practices such as memory-safe C, static analysis, and fuzzing. The role requires expertise in firmware security, authorization models, cryptography, secure boot, attestation, and embedded systems.

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.

Investigate, assess, and remediate vulnerabilities across NVIDIA data center platforms. Responsibilities include vulnerability triage, exploitability analysis, CVSS and CWE assessment, security fixes, regression testing, dependency updates, automation, and coordinated disclosure. The role also improves secure development lifecycle practices through threat modeling, security reviews, testing, and security automation while collaborating across distributed engineering teams.

Lead the research, design, and implementation of Trusted Execution Environment and Confidential Computing architectures for NVIDIA NIC and DPU products. Develop security primitives, threat models, isolation architectures, attestation methods, and secure management interfaces. Collaborate with hardware, software, research, product teams, customers, and partners to address security issues, validate designs, follow standards, and extend CJDNS with distributed key management.

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.

Leads the design and implementation of security solutions for AI systems across data ingestion, model training, deployment, and runtime. Develops controls against prompt injection, data poisoning, model inversion, data leakage, and unauthorized access. Secures cloud infrastructure, APIs, identities, integrations, and third-party AI platforms; implements monitoring, automated security testing, and incident response. Partners with architecture, engineering, and governance teams to ensure resilient, compliant AI security practices.

Assesses and mitigates security risks across applications, systems, networks, and cloud infrastructure. Conducts security assessments, identifies vulnerabilities and compromises, deploys mitigating controls, performs compliance investigations, and develops security guidance, policies, scripts, and tools. The role requires collaboration with IT, engineering, and business units, with emphasis on NIST frameworks, adversarial techniques, malware, intrusion management, FedRAMP, and CMMC environments.

Lead product, cloud, application, infrastructure, and internal security across Hipp’s healthcare SaaS platform. Responsibilities include architecture reviews, threat modeling, vulnerability management, cloud and identity security, monitoring, incident response, AI-agent security, compliance controls, vendor risk, customer security reviews, and security mentorship.

Build ngrok’s foundational security engineering program, including security tooling, CI/CD guardrails, secrets scanning, vulnerability tracking, cloud security, risk assessments, AI security policies, detection capabilities, and incident response. Partner with engineering and leadership to establish security controls, automation, metrics, and reusable internal security platforms.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Responsibilities include Kubernetes runtime isolation, identity and credential security, service mesh trust, Terraform infrastructure, fleet scaling, CI/CD, observability, auditability, human approval workflows, and governed agent integrations. The role also sets technical direction, mentors engineers, and partners across Product, Security, and Leadership to deliver secure, reliable distributed systems at scale.

Own and improve security across cloud infrastructure, AI platforms, corporate IT, endpoints, identity, email, and business applications. Build detection and response capabilities, secure containers and software supply chains, implement identity and access controls, manage vulnerabilities and secrets, and automate security guardrails. Investigate threats across cloud, identity, and endpoint telemetry while protecting sensitive customer data and supporting compliance controls.

Designs and reviews secure architectures for cloud, applications, data, APIs, identity systems, AI/ML implementations, and third-party integrations. Leads threat modeling, security standards, reference architectures, risk assessments, and compliance alignment across AWS, Azure, and GCP environments. Protects traveler and payment data, defines AI and identity security guardrails, supports vendor due diligence, and advises engineering, product, and executive stakeholders on practical risk mitigation.

Plans and executes full-scope red team and adversary emulation operations, including phishing, C2, privilege escalation, lateral movement, EDR/XDR evasion, Active Directory and cloud compromise, and social-engineering scenarios. Develops custom offensive tooling, collaborates with Blue Teams to validate detections, documents attack chains, and provides remediation guidance. Requires 5+ years of offensive security experience, advanced scripting skills, and recognized offensive security certifications, with bug bounty or CTF achievements preferred.

Lead cybersecurity consulting and engineering engagements securing OT and IT environments for water, wastewater, and environmental infrastructure clients. Conduct ICS, SCADA, network, architecture, risk, and compliance assessments; design secure IT/OT architectures; develop governance, incident response, security plans, and improvement roadmaps; evaluate security technologies; and support proposals and client presentations. Mentor junior staff and advise on cloud, IoT, AI, and critical infrastructure security.

Designs and operates security controls for AI/ML systems, including threat detection, incident response, cloud and application security, model governance, adversarial testing, and security automation. Builds production tooling across AI platforms such as SageMaker, Azure OpenAI, and Databricks; applies MITRE ATLAS, OWASP AI Top 10, and NIST AI RMF frameworks; and integrates enterprise security platforms to protect models, data, pipelines, and AI applications.

Design and ship product security improvements covering authentication, authorization, session and token handling, secrets management, third-party access, abuse detection, fraud prevention, and account takeover defense. Threat-model systems, remediate vulnerabilities, build secure developer tooling, and partner with Product, Engineering, and Trust & Safety. Mentor engineers and use AI-assisted development while balancing security controls with user experience.