Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and operate scalable security tooling, applications, APIs, and automation for CrowdStrike’s global multi-cloud Product Security environment. Responsibilities include software supply chain security, AI-powered vulnerability discovery, platform visibility, risk assessments, CI/CD, SRE operations, datastore management, monitoring, and incident response support. The role partners across Product Security to define tooling strategy and maintain mission-critical security services.

Lead design and delivery of large-scale AI/ML and retrieval systems for cybersecurity. Build end-to-end ML architecture, models (anomaly detection, ranking, RAG/LLM), and production infrastructure. Drive technical strategy, cross-functional initiatives, experimentation, and mentor junior scientists while balancing latency, scalability, reliability, and business impact.

Design, build, and maintain distributed cloud services to support advanced threat detection. Collaborate with security, data science, and engineering teams to integrate capabilities into the Falcon platform, ensure production reliability, and leverage AI/LLMs to improve detection and automation. Mentor peers and contribute to scalable, high-availability system architecture.

Lead tailored threat hunting and intelligence operations for high-profile customers: execute sophisticated hunts, research dark web and threat activity, deliver executive and technical briefings, respond to ad hoc customer requests, and leverage AI/autonomous agents to accelerate analysis and outcomes while supporting on-call rotation and cross-team initiatives.

Design and scale technical enablement learning programs for sales engineers, partners, and technical sellers. Own curriculum architecture, assessments, labs, workshops, and blended modalities, partner with SMEs, set instructional standards, use feedback and AI tools to measure and improve learning effectiveness.

Conduct red team and penetration testing assessments across operating systems, applications, databases, and network infrastructure. Simulate threat actors using the Kill Chain and MITRE ATT&CK Framework, identify vulnerabilities, and communicate findings and recommendations to technical teams and executives. Support information security program improvements, provide crisis-operation guidance, and perform technical operations with an OPSEC mindset. The role also requires security tool expertise, scripting and automation, AI application, and occasional travel.

Deliver strategic cybersecurity advisory engagements, assess and mature security and incident response programs, develop exercise scenarios, and produce reports, presentations, recommendations, and findings for customer management. The role also identifies emerging cybersecurity trends, contributes to thought leadership and methodologies, and supports multiple concurrent projects. Candidates independently perform strategic analysis, communicate effectively with stakeholders, use AI technologies to improve workflows and decisions, and travel to client engagements up to 30%.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.