Senior Cloud-Native AI Detection & Response Engineer

CrowdStrike Inc.

Sunnyvale (CA)

Hybrid

USD 160,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation
Equity awards
Comprehensive benefits
Professional development
Paid vacations

Job summary

CrowdStrike is seeking a Software Development Engineer to join the AI Detection and Response Cloud team. You will architect and build scalable microservices that process millions of AI security events per second and manage petabytes of AI data.

This hybrid role requires 2-3 days on-site at one of the posted locations in the United States. You will lead design reviews, drive operational excellence, and mentor colleagues while maintaining high standards of security and reliability across a global

Qualifications

  • 10+ years of software development experience in building enterprise-grade products.
  • 5+ years of experience developing microservices that run in cloud-native environments.
  • Strong CS fundamentals (algorithms, data structures, distributed systems).
  • Expertise in at least one cloud-native language: Go, Python, or Java.
  • Experience applying AI technologies to improve decision-making and workflows.

Responsibilities

  • Architect scalable microservices and platform components.
  • Develop comprehensive tests focusing on reliability and performance.
  • Conduct code and design reviews with emphasis on security and scalability.
  • Integrate with CrowdStrike ecosystem of services and APIs.
  • Lead root cause analysis for production issues and preventive measures.
  • Mentor teammates on secure coding practices and cloud-native development.

Skills

Distributed systems
Cloud-native development
Microservices
Debugging
AI/ML in security

Tools

Docker
Kubernetes
PostgreSQL
Redis

Job description

CrowdStrike is seeking a Software Development Engineer to join the AI Detection and Response Cloud team. You will architect and build scalable microservices that process millions of AI security events per second and manage petabytes of AI data.

This hybrid role requires 2-3 days on-site at one of the posted locations in the United States. You will lead design reviews, drive operational excellence, and mentor colleagues while maintaining high standards of security and reliability across a global

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