Top Senior Cyber Security Jobs in Sacramento, CA

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.

Assess and improve federal information-system security authorization programs. Review ATO packages, SSPs, privacy assessments, system artifacts, POA&Ms, audit reports, and continuous-monitoring activities under RMF. Coordinate stakeholders, support compliance reporting, track authorization renewals, advise on security and privacy requirements, and develop best practices. The role requires cybersecurity incident response, systems administration, SOC, malware analysis, threat intelligence, and enterprise credential-store experience.

Conducts security and privacy control assessments, vulnerability and penetration testing, ATO artifact reviews, risk analysis, and compliance reporting. Develops assessment plans, test schedules, findings reports, POA&M remediation templates, and executive briefings. Advises system owners, ISSOs, contractors, and stakeholders on corrective actions, acceptable evidence, authorization requirements, and enterprise security improvements while applying NIST, FedRAMP, RMF, FISMA, and related government standards.

Build, deploy, and maintain AppSec tooling; integrate security into SDLC; triage SAST/DAST findings; automate penetration testing; lead secure coding and threat modeling; support vulnerability detection, remediation, and incident response.

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.

Lead the AWS cloud security program and manage security engineering teams. Establish AWS security standards, oversee IAM, encryption, logging, monitoring, vulnerability management, Terraform automation, CI/CD security, incident response, and secure architecture reviews. Manage risk registers, compliance workflows, audits, control testing, and FedRAMP, FISMA, NIST, and SA&A readiness. Guide investigations, remediation, runbooks, tabletop exercises, and secure cloud practices while reporting risks and metrics to leadership.

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.

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.

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 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.

Leads and develops Security Consultants while overseeing security submission triage, validation, escalations, and resolution. Provides application security expertise across web, network, cloud, or mobile domains; improves operations through metrics, automation, and process optimization; manages workloads; and partners with customers, leadership, and cross-functional teams. The role requires incident response and vulnerability management experience, technical mentorship, strong communication, and periodic travel for customer-facing and onsite events.

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.

Conduct novel research in AI security and cybersecurity, focusing on securing AI models, agents, systems, and infrastructure. Develop tools and processes to identify and remediate vulnerabilities, investigate adversarial machine learning, publish findings, and collaborate across NVIDIA. Present complex technical results to security, machine learning, and business audiences while contributing to secure software development and AI safety.

Lead incident response, threat hunting, cloud and product security investigations across corporate, cloud, and product environments. Conduct digital forensics, malware analysis, vulnerability investigations, and cloud workload response across AWS, Azure, GCP, Kubernetes, and containers. Develop automated detection and response playbooks, map threats using MITRE ATT&CK, advise engineering and business teams, and strengthen security policies and defenses.

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 application and infrastructure security for LiteLLM, focusing on Python code reviews, vulnerability remediation, threat modeling, secure development tooling, CI/CD and supply-chain security, cloud and IT controls, incident response, and LLM-specific attack testing. Partner closely with engineers to strengthen authentication, authorization, tenant isolation, secrets management, deployment security, monitoring, vulnerability management, and disclosure processes.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

Lead developer advocacy for AI and agentic security: advise security companies, accelerate NVIDIA stack adoption, guide partner integrations, map ecosystems, collaborate cross-functionally, run community events, and feed product teams with field insights.

Analyzes exposure risks across databases and data platforms, including permissions, access models, configurations, storage, encryption, and service-to-service access. Investigates attack paths, validates risks using queries and logs, prioritizes issues by exploitability and business impact, and partners with database, cloud, platform, engineering, and cybersecurity teams on remediation and preventative controls.

Oversee internal IT infrastructure, cybersecurity operations, incident response, cloud systems, identity and access management, employee IT support, and technology vendors. Administer Microsoft 365, Azure, networking, firewalls, endpoints, backups, and SSO. Lead security assessments, vendor selection and negotiations, insurance compliance, documentation, infrastructure initiatives, and risk communication to leadership.