Jobs · Engineering · Texas

Sr. Engineer, Cloud Native - AI Detection and Response (AIDR) (Hybrid)

CrowdStrike · Austin, TX · 3 wk ago
Engineering$140k–$215k/yrFull-time

About the role

CrowdStrike is seeking an experienced Software Development Engineer to join our AI Detection and Response (AIDR) Cloud team.

Responsibilities

  • Design and implement highly scalable microservices, frameworks and platform components
  • Develop comprehensive tests focusing on reliability, accuracy and performance
  • Conduct thorough code and design reviews with focus on testability, security, and scalability
  • Integrate seamlessly with CrowdStrike ecosystem of services and API's
  • Drive root cause analysis for production issues and implement preventive measures
  • Mentor team members on secure coding practices, testing methodologies and cloud-native development

Requirements

  • 10+ years of software development experience in building Enterprise grade products
  • 5+ years of experience in developing microservices that run in cloud native environments
  • Strong computer science fundamentals (algorithms, data structures, distributed systems)
  • Expertise in at least one cloud native programming language: GO, Python, Java
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
  • Deep Understanding Of:
    • Cloud architectures and microservices
    • Web Services: REST, gRPC, Protocol Buffers or similar API technologies
    • Data storage systems: PostgreSQL, Redis or similar databases
    • Container technologies: Docker, Kubernetes or similar orchestration platforms
    • Proven track record of deploying services to at least one of cloud environments (AWS/OCI/GCP/Azure)
  • Strong debugging skills with ability to troubleshoot complex distributed systems
  • Experience with cloud monitoring, profiling and optimization tools

Bonus points

  • Previous experience in cybersecurity companies or security-focused products
  • Deep understanding of AI/ML security challenges, threats and mitigation strategies
  • Experience with real-time data processing systems (Kafka, Pulsar, Splunk)
  • Contributions to open source libraries and/or frameworks
  • Hands-on experience with working in cloud environments such as Oracle Cloud Infrastructure (OCI), Google Cloud Platform (GCP) and/or Microsoft Azure
  • GCP, OCI & Kubernetes
  • AWS and API Gateway
  • Golang experience
  • MS CoPilot Ecosystem and MS Agent Studio
  • Highly scalable and performant Cloud Native Service experience on AWS

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