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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.

The Backend Engineer III will develop the NG-SIEM Global Serverless Platform, focusing on high availability, scalability, and system efficiency while collaborating with a distributed team.

Conduct AWS cloud threat hunting for global clients using Falcon, threat intelligence, cloud logs, queries, and scripts. Review configurations, identify adversarial activity and unauthorized access risks, develop defensive recommendations, and manage client projects. Communicate findings through technical reports, presentations, and stakeholder briefings, including to CISO-level audiences, regulators, and legal counsel.

Conduct outbound and inbound prospecting through phone, email, and LinkedIn; research accounts; identify cybersecurity needs; educate prospects; qualify opportunities; book meetings for account executives; maintain Salesforce records; analyze outreach performance; collaborate with marketing, partners, and sales teams; and develop expertise in cybersecurity, AI, and professional selling.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Manage an engineering team building reusable infrastructure platforms and core distributed systems. Architect highly available services, review designs, plan roadmaps, optimize cloud costs, and enforce deployment standards across AWS and GCP. Lead planning, retrospectives, on-call practices, and reliability initiatives involving SRE, CI/CD, chaos engineering, and incident analysis. Develop engineering strategy, mentor senior engineers, and influence platform decisions across product teams.

Leads complex, cross-functional infrastructure programs involving cloud migrations, platform modernization, reliability improvements, and cost optimization. Develops roadmaps, schedules, milestones, metrics, and dependency plans; coordinates engineering, SRE, product, and platform teams globally; manages risks and escalations; ensures operational readiness and documentation; and communicates technical progress and business impact to executives and technical stakeholders.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

Design, implement, and maintain IAM and access-control systems for CrowdStrike’s global, multi-cloud Falcon platform. Manage IAM lifecycle operations, security governance, least-privilege controls, threat modeling, audits, and incident response. Develop automation and integrations, ensure access-system reliability at scale, and advise product and engineering stakeholders on security. The role also involves improving cybersecurity practices, supporting compliance, and applying AI technologies to enhance workflows and decision-making.

Identify and onboard OT/IoT vulnerability data sources, monitor threat intelligence and CVEs, troubleshoot customer escalations, and improve vulnerability content pipelines. Maintain device inventories, quality controls, health checks, KPIs, and detection content for industrial environments. Use Python or Go, packet analysis, generative AI, and AI-agent workflows to automate vulnerability validation while maintaining human oversight. Collaborate with customers, partners, and security experts on product improvements and beta programs.