Senior Cloud-Native AI Security Engineer

Jobtome

Sunnyvale (CA)

Hybrid

USD 160,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Market-leading compensation and equity
Comprehensive wellness programs
Generous vacation and holidays
Parental and adoption leave
Professional development opportunities
Employee networks and volunteering
Vibrant office culture

Job summary

CrowdStrike is seeking a Software Development Engineer to join the AI Detection and Response Cloud team. You will architect and build next-generation services processing AI security events at scale, leveraging cloud-native technologies and collaborating across engineering teams.

The role emphasizes secure coding practices, performance, and reliability, with hybrid on-site requirements 2-3 days a week. You will mentor peers and drive operational excellence in a fast-paced environment.

Qualifications

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

Responsibilities

  • Design and implement scalable microservices and platform components.
  • Develop comprehensive tests focusing on reliability and performance.
  • Conduct thorough code and design reviews emphasizing security and testability.
  • Integrate with CrowdStrike ecosystem of services and APIs.
  • Mentor team members on secure coding, testing methods, and cloud-native development.

Skills

Software development
Distributed systems
Cloud native
Algorithms & data structures
Security best practices
Performance optimization

Tools

Docker
Kubernetes
REST/gRPC APIs

Job description

CrowdStrike is seeking a Software Development Engineer to join the AI Detection and Response Cloud team. You will architect and build next-generation services processing AI security events at scale, leveraging cloud-native technologies and collaborating across engineering teams.

The role emphasizes secure coding practices, performance, and reliability, with hybrid on-site requirements 2-3 days a week. You will mentor peers and drive operational excellence in a fast-paced environment.

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