Top Entry Level Cyber Security Jobs in San Francisco Bay Area, CA

Leads technical pre-sales architecture for complex security solutions serving public-sector and commercial customers. Translates business, security, compliance, and technical requirements into solution designs, bills of materials, statements of work, estimates, pricing, assessments, and deployment plans. Conducts discovery sessions, architecture workshops, solution reviews, and customer presentations while partnering with sales, delivery teams, and security vendors. Mentors architects and sellers, supports regional customer activity, and travels throughout the Southeast as needed.

Secure Outset’s AWS infrastructure, Terraform code, application architecture, and product code. Responsibilities include security reviews, penetration-test coordination, vulnerability remediation, incident investigation, SIEM detection engineering, alert response, telemetry improvement, security automation, cloud hardening, IAM, secrets management, and collaboration with engineering and SRE teams. The role leads technical platform investigations during security and privacy incidents and develops practical controls that protect systems without slowing product delivery.

Secure CrowdStrike’s software supply chain and code-hosting environments by assessing GitHub organizations, open-source integrations, repositories, dependencies, and third-party packages. Implement repository guardrails, secret scanning, access controls, and automation; investigate supply-chain threats such as typosquatting and dependency confusion; promote secure coding and open-source compliance; and collaborate with engineering teams on security initiatives.

Build AI-driven systems for blockchain security, including smart contract analysis, vulnerability discovery, exploit analysis, threat detection, and security investigations. Develop AI agents that reason over codebases, protocol interactions, transactions, and wallet activity. Collaborate with security researchers and infrastructure teams on monitoring and incident response while researching blockchain attack techniques, Web3 infrastructure, and AI security trends.

Own security end to end as AIUC’s first security hire, securing its product, agent evaluation platform, infrastructure, corporate systems, vendors, data, and customer environments. Build sandboxing, credential isolation, least-privilege access, detection, logging, incident response, and automated security controls. Investigate emerging agent attacks, turn research into production defenses, support customer security reviews, and contribute findings to AIUC-1 standards and its CISO consortium.

Design and implement security across infrastructure, applications, data, and AI systems. Own authentication, authorization, tenant isolation, secure log ingestion and querying, and AI security risk mitigation. Lead security incident response and postmortems, establish practical security practices, and partner with engineering to integrate security into development. The role requires application or infrastructure security experience, knowledge of OWASP vulnerabilities, and experience securing distributed systems and APIs.

Secure models, data, cloud infrastructure, and compute by building practical security systems and automation. Partner with engineering and research teams on secure architecture and development workflows, manage access controls and infrastructure safeguards, assess and exploit vulnerabilities, validate fixes, and contribute production-quality tools. The role also establishes security priorities and may secure AI/ML infrastructure and agent execution environments.

Serves as a security subject matter expert supporting sales teams and customers. The role assesses security environments, facilitates incident response and investigations, demonstrates Varonis capabilities, supports threat detection evaluations, develops technical enablement materials, communicates product updates, and gathers customer feedback for product improvement. Strong expertise in cloud and self-hosted network security, Microsoft security ecosystems, identity management, SIEM, SOAR, and threat detection is required.

Analyze, debug, and secure diverse codebases; implement features; refactor legacy software; conduct audits and penetration tests; optimize backend performance; and document findings to improve AI training datasets.

Design and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services. Assess platform security, automate telemetry and configuration-drift detection, build AI-assisted security applications, support secure device lifecycle management, and enforce identity and privileged-access controls. Research confidential computing and hardware roots of trust while documenting technical designs, tests, and security findings.

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.

Lead engineering for enterprise network security platforms, including firewall infrastructure, Infrastructure as Code, CI/CD pipelines, Ansible automation, APIs, and scripting. Troubleshoot complex network, cloud, and security issues; establish engineering standards; improve reliability and scalability; manage platform upgrades and vulnerability remediation; and provide technical leadership across engineering, networking, application, cloud, and security teams.

Designs, implements, and maintains secure network infrastructure for Lightning AI’s production and AI environments. Responsibilities include firewall, VPN, IDS/IPS, segmentation, vulnerability assessment, penetration testing, SIEM monitoring, incident response, compliance documentation, access controls, and security automation. The role partners with infrastructure and engineering teams to mitigate threats and optimize security controls.

Own and strengthen security across systems, networks, and infrastructure. Design firewalls and IDS/IPS capabilities, conduct security audits and vulnerability assessments, detect and respond to threats, establish organization-wide security practices, collaborate with engineering and operations, and support customer security questionnaires and technical requirements.

Own and evolve security infrastructure for AI foundation-model platforms across compute, storage, networking, and data systems. Architect secure Kubernetes and cloud patterns, manage identity and secrets, secure data pipelines, create threat models, and automate policy enforcement and security checks. Partner with research and engineering teams to deliver scalable systems with strong security, reliability, and performance.

The fellowship provides military spouses and separating service members with cybersecurity training and hands-on experience through projects and vendor training, aimed at enhancing their security skills.

Designs and implements security controls across cloud platforms, operating systems, Kubernetes, networks, and CI/CD. Audits infrastructure for weaknesses, develops security and privacy improvements, performs threat modeling, and drives remediation. The role includes software development, infrastructure security, incident containment, and technical security analysis while collaborating with engineering teams in a distributed startup environment.