Top Cyber Security Jobs in San Luis Obispo, CA

Partner with sales teams to design and deliver technical demonstrations and evaluations for data security solutions. Gather requirements, configure custom product setups, lead hands-on evaluations, and guide customers to successful outcomes in strategic enterprise opportunities.

Lead and grow a security engineering team to design and operate cloud-native security controls, drive DevSecOps practices, conduct threat modeling and incident response, partner cross-functionally on security roadmaps, and ensure compliance with frameworks (NIST, SOC 2, ISO, etc.). Responsible for vulnerability management, identity and access controls, observability/SIEM, and security automation.

Perform 24/7 SOC monitoring and incident response across networks, endpoints, cloud and SaaS; triage, investigate, and remediate incidents; collaborate with vulnerability management, FedRAMP, and engineering teams; refine detection/playbooks; maintain incident documentation and SOC processes; support FedRAMP-related security and privacy responsibilities and periodic background investigations.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

Leads Forward’s application and product security program, including a team of senior engineers, penetration testing, vulnerability remediation, secure SDLC practices, and AI security. Owns testing standards, remediation workflows, exposure controls, pre-production security reviews, and security services. Partners with Engineering and executives to communicate risk and priorities while securing web applications, APIs, cloud infrastructure, and AI-built software.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

Lead application security engineering across the SDLC using AI-assisted threat modeling, automated security testing, vulnerability prioritization, and secure-by-default controls. Partner with Engineering, Product, QA, DevOps, and AI platform teams to secure applications, APIs, cloud infrastructure, data, and AI/ML systems. Build security automation, CI/CD controls, policy-as-code guardrails, developer enablement, and proactive defenses against emerging threats such as prompt injection and data poisoning.

Design, implement, and support enterprise identity and access management using Microsoft Entra. Build controls for Conditional Access, MFA, identity governance, privileged access, authentication modernization, and Zero Trust. Develop PowerShell automation for identity lifecycle and governance, partner with technical and business teams, improve security operations, and mentor engineers. The role also includes on-call participation and occasional after-hours work.

Leads enterprise AI tooling and security engineering, designing scalable cloud platforms and secure AI applications. Responsibilities include protecting models, agents, prompts, data, APIs, and outputs; securing the AI/ML lifecycle; implementing identity, encryption, monitoring, threat detection, adversarial testing, and incident response; and establishing engineering standards. The role mentors engineers, influences architecture and technology strategy, and partners with governance, risk, compliance, and business teams to support responsible AI adoption.

Leads enterprise AI tooling and security strategy, building secure cloud-native platforms and protecting AI models, agents, prompts, data, APIs, and outputs. Designs controls for identity, access, encryption, monitoring, threat detection, adversarial testing, governance, and incident response. Provides distinguished technical leadership, mentors engineers, establishes engineering standards, and partners across architecture, security, governance, risk, compliance, and business teams.

Serves as the senior technical authority for enterprise browser data protection and security. Owns architecture, roadmap, standards, lifecycle, browser-based DLP controls, integrations, automation, and operational support. Leads complex troubleshooting, major incident response, root-cause analysis, runbook development, and continuous improvement. Partners across cybersecurity, identity, endpoint, network, cloud, risk, compliance, and vendor teams while mentoring engineers and influencing enterprise security design.

Build and operate security log pipelines, SIEM detections, endpoint controls, security automation, and internal tooling across AWS, macOS, Windows, CI/CD, and infrastructure repositories. Develop primarily in Python, implement Terraform-based infrastructure and policy-as-code safeguards, integrate security tools through APIs, and embed scanning and secrets detection into developer workflows. Own the reliability and coverage of security platforms while independently driving projects and implementing fixes directly in systems managed by other teams.

Own AWS cloud security posture and vulnerability management using Wiz and AWS-native services. Build Infrastructure as Code guardrails, secure CI/CD pipelines, automate vulnerability workflows, and operate WAF protections. Partner with DevOps and engineering on IAM, network segmentation, containers, secrets, data exposure, telemetry, threat modeling, and application security. Drive projects independently while reducing organizational risk.

Staff Security Engineer partners with Product, Engineering, and DevOps to embed security into application architecture, cloud infrastructure, and CI/CD processes. Responsibilities include secure design and code review, vulnerability remediation, AWS cloud security, WAF tuning, security automation in Python, SIEM and log pipeline contributions, endpoint controls, and security standards. The role requires deep expertise in application security, cloud security, or security automation, plus threat modeling and independent project ownership.

Supports application security across product and engineering teams by reviewing code, configurations, pull requests, logs, and system designs; identifying and prioritizing vulnerabilities; guiding remediation; and contributing scripts, tooling, detections, tests, and secure coding practices. The role also involves vulnerability management, risk-based analysis, security communication, and collaboration across engineering, infrastructure, compliance, and product teams.

Lead detection, response, and digital forensics for security incidents. Monitor alerts, perform technical analysis, act as Incident Commander, build automation and runbooks, mentor engineers, and coordinate cross-team investigations and insider threat work.

Lead and scale an AI Security incubation team to drive technical GTM, recruit and mentor principal AI security specialists, build repeatable POVs and sales playbooks, advise C-level customers on secure AI deployments (RAG, agents, prompt workflows), and channel field insights into product and engineering roadmaps while supporting high-value deals.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

The Senior Application Security Engineer will implement security controls for space systems, ensuring compliance with government standards while collaborating with engineering teams to enhance security practices and respond to threats.

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 OSINT and engagement-driven investigations into Russian-language eCrime actors across surface, deep, and dark web. Collect actionable intelligence, produce contextual internal reports, collaborate with analytic teams, employ secure virtual OPSEC tradecraft, and leverage AI to accelerate research and decision-making under tight deadlines.

Conduct advanced OSINT and operational tradecraft to collect, track, and report on hacktivist and state-sponsored threat actor activity across South Asia, Latin America, and North Africa. Produce contextual internal reports, collaborate on analytical products, and employ secure methods to support threat intelligence operations.

Lead large-scale collection and analysis of deep and dark web data, build and maintain production-grade automated collection systems (LLM-integrated), operate Docker/cloud-based pipelines and APIs, respond to collection failures and incidents, perform threat actor research, and apply OPSEC tradecraft while collaborating globally.

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.