Top Senior Cyber Security Jobs in San Francisco Bay Area, CA

Own the company’s security architecture and compliance posture across application, cloud, data, and AI systems. Responsibilities include threat modeling, secure design, platform hardening, tenant isolation, SOC 2 readiness, export-control and ITAR preparation, AI/LLM security, security tooling, vulnerability management, incident response, and customer security reviews. This role establishes security practices as the company’s first dedicated security hire.

Own product security across robots, embedded systems, firmware, cloud infrastructure, APIs, mobile applications, and fleet operations. Lead threat modeling, secure architecture reviews, vulnerability research, penetration testing, code review, incident response, detection engineering, and security tooling. Establish security standards, automate testing, investigate incidents, and partner closely with engineering teams to harden systems and ship secure fixes.

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.

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.

Owns and improves Microsoft security platforms across Azure, Microsoft 365, and hybrid infrastructure. Implements Zero Trust, identity, endpoint, application, cloud, and data security controls; develops automation with PowerShell, Graph, KQL, APIs, Bicep, and Terraform; integrates security telemetry; supports detection and incident response; documents controls for audits and compliance; mentors engineers and partners with platform teams.

Engineers and operates corporate IT security across identity, devices, endpoints, SaaS, internal networks, and workforce AI tools. Responsibilities include access hardening, device trust, lifecycle automation, SaaS security posture, detection engineering, incident command, audit evidence, and AI guardrails. The role is primarily hands-on and partners with Security, IT, Legal, Compliance, and business leaders to investigate incidents, remediate risks, and improve corporate security controls.

Build and mature Headway’s infrastructure security program across AWS and application platforms. Partner with Product and Infrastructure teams on secure system design, security reviews, platform guardrails, vulnerability remediation, and continuous infrastructure improvement. Support incident response and security operations while advancing AI-native cloud security practices. The role requires strong technical depth, cross-functional collaboration, and the ability to establish secure-by-default engineering practices in an ambiguous, fast-paced environment.

Design and build AI-powered cybersecurity platforms that process large-scale telemetry, detect and predict threats, and generate explainable alerts. Develop scalable Python services, distributed data systems, AI DevOps pipelines, agentic workflows, RAG capabilities, and model integrations. Collaborate with security experts, product managers, and engineers to validate AI features and improve analyst workflows for security operations.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.

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.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

Lead security reviews, code audits, penetration testing, vulnerability research, and mitigation efforts for Microsoft Windows services. Develop reusable security tools and agents, identify attack vectors and architectural risks, demonstrate exploit impact, and collaborate with product engineering teams to design scalable defenses and improve security investments.

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.

Builds secure AI and agentic cybersecurity tooling, transforming research prototypes into production-ready services. Responsibilities include developing backend services, APIs, CLI tools, automation, and integration patterns; defining MVPs for ambiguous security and identity challenges; collaborating across research, product, enterprise security, and platform teams; and applying offensive security and adversarial thinking to address AI-specific risks such as injection, tool misuse, unauthorized access, data exfiltration, and unsafe delegation.

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.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

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.

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.

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.

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.

Executes end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develops offensive tooling, implants, and evasion tradecraft; operates and improves AI-driven security agents; discovers and exploits vulnerabilities; and communicates findings to customers and internal security teams. The role also contributes to operational playbooks, product hardening, detection improvements, and scalable offensive 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.