
5001 - 10000 Mitarbeiter
Gegründet 2011
🔒 Cybersecurity
☁️ SaaS
🤖 Künstliche Intelligenz
Cybersecurity • SaaS • Artificial Intelligence
CrowdStrike ist ein Cybersecurity-Unternehmen, das cloudbasierte Sicherheitsdienste bereitstellt, um Sicherheitsverletzungen zu stoppen. Es gilt als führend in den Bereichen Endpoint Protection, Identity- und Cloud-Security sowie Managed Detection and Response (MDR). Die Plattform von CrowdStrike, Falcon, integriert künstliche Intelligenz (AI), um Echtzeit-Transparenz, Erkennung und Schutz vor hochentwickelten Cyberbedrohungen zu bieten. Für seine Effektivität beim Schutz von Netzwerken und Daten wird das Unternehmen hoch geschätzt und ist ein vertrauenswürdiger Partner für Unternehmen weltweit.
🕒 vor 2 Monaten
🤠 Texas – Remote
💵 $120.000 - $180.000 / Jahr
⏰ Vollzeit
🟡 Mittelstufe
🟠 Senior
🤖 Künstliche Intelligenz
🦅 H1B-Visum-Sponsor
👻 Geisterscore 12%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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5001 - 10000 Mitarbeiter
Gegründet 2011
🔒 Cybersecurity
☁️ SaaS
🤖 Künstliche Intelligenz
Cybersecurity • SaaS • Artificial Intelligence
CrowdStrike ist ein Cybersecurity-Unternehmen, das cloudbasierte Sicherheitsdienste bereitstellt, um Sicherheitsverletzungen zu stoppen. Es gilt als führend in den Bereichen Endpoint Protection, Identity- und Cloud-Security sowie Managed Detection and Response (MDR). Die Plattform von CrowdStrike, Falcon, integriert künstliche Intelligenz (AI), um Echtzeit-Transparenz, Erkennung und Schutz vor hochentwickelten Cyberbedrohungen zu bieten. Für seine Effektivität beim Schutz von Netzwerken und Daten wird das Unternehmen hoch geschätzt und ist ein vertrauenswürdiger Partner für Unternehmen weltweit.
• Lead agentic AI systems end-to-end through iterative refinement, owning design, security hardening, phased deployment, and ongoing maintenance. • Translate stakeholder requirements into clear technical solutions and seamless user experiences, bridging business and engineering across technical and non-technical audiences. • Architect multi-agent systems with interoperability, security, scalability, and cost as primary design constraints. • Define benchmarks for agent performance, accuracy, cost, and reliability; surface what matters to decision-makers. • Deliver within the approved service portfolio, navigating approval gates and existing infrastructure pragmatically rather than defaulting to net-new proposals. • Advise leadership on AI strategy and roadmap, mentor team members, and stay current with advancements in LLMs and agentic frameworks. • Own production incident response across a broad service portfolio: hands-on troubleshooting, runbook maintenance, and participation in a 24/7 on-call rotation.
• Effective use of AI agents to deliver at amplified velocity and scope, directing AI through open-ended, multi-step work; comfortable applying adversarial-validation patterns (Challenger agents, confidence scoring, mandatory dissent) to prevent LLM groupthink in production systems. • Proven track record integrating LLM-based solutions into production at scale, with hands-on experience in at least one agentic framework (CrewAI, LangGraph, ADK, or similar) covering agent lifecycle, tool use, memory, and orchestration. • Production-quality Python with type hints, testing, and CI/CD discipline, increasingly applied through directing and reviewing AI-generated implementations. • Systems thinking and full-stack mindset; reasons about how changes propagate across services, data pipelines, frontends, and infrastructure, with deliberate use of REST APIs, CI/CD, automated testing, and gated rollouts (feature flags, staged UAT) to balance iteration speed and safety. • Working knowledge of AWS across a multi-account production environment (SQS/SNS, DynamoDB, S3, IAM); general familiarity, not cloud architect depth. • Genuine knowledge-sharing orientation; treats documentation, runbooks, and architecture decisions as primary deliverables, building queryable knowledge systems that turn tribal knowledge into shared understanding. • Pragmatic delivery in constrained environments; designs around approval gates and existing infrastructure rather than defaulting to greenfield ideals. • Experience integrating AI with Slack as a delivery surface (bot frameworks, event subscriptions, slash commands); React/TypeScript frontend experience is valued though not required.
• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe
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