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Sr. Engineer, Infrastructure - AI Detection and Response; AIDR; Hybrid

Job in Redmond, King County, Washington, 98052, USA
Listing for: CrowdStrike
Full Time, Part Time position
Listed on 2026-02-10
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Job Description & How to Apply Below
Position: Sr. Engineer, Infrastructure - AI Detection and Response (AIDR) (Hybrid)

Overview

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other.

Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role

Crowd Strike is seeking an experienced Software Development Engineer to join our AI Detection and Response (AIDR) Cloud team. In this role, you will architect and build the next generation of AIDR services that processes millions of AI security events per second and manage petabytes of critical AI data. We re seeking innovative problem-solvers who can take ownership of complex technical challenges across our platform.

This is an opportunity to work at unprecedented scale with cutting-edge cloud technologies while making a direct impact on organizations worldwide protecting them from sophisticated AI based threats.

Hybrid Work

Please note:

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

Success Means
  • Architect enterprise grade solutions that scale seamlessly from thousands to millions of requests per second

  • Building reusable platform libraries that accelerate development across multiple engineering teams

  • Drive operational excellence through rapid issue resolution, thorough root cause analysis, and proactive system improvements

  • Collaborating effectively across engineering teams to drive testing best practices

  • Deliver with velocity while maintaining highest standards of security and reliability

What You ll Do
  • 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

What You ll Need
  • 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

  • Deep understanding of:

  • Cloud architectures and microservices

  • Web Services: REST, gRPC, Protocol Buffers or similar API technologies

  • Data storage systems:
    Postgre

    SQL, 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

  • GPU Cluster and Inference Workload Management

  • Experience with Grafana Dashboards

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

Cro…

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