Senior SDET - AI Detection and Response (AIDR) (Hybrid)
As a global leader in cybersecurity, CrowdStrike 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 CrowdStrike to keep their businesses running, their communities safe and their lives moving forward.
About the role
CrowdStrike is seeking a Software Developer in Test (SDET) to join our AI Detection and Response (AIDR) team. In this role, you will own end-to-end quality for the next generation of AIDR services — a platform that processes millions of AI security events per second and manages petabytes of critical AI data. This is a hands-on, coding-intensive role on par with product development. You'll build and own AIDR-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing infrastructure. Your work will span validation across both cloud-side backend services and UI applications, ensuring the system behaves correctly at every stage — from individual components to full system behavior. Testing concerns span functional, performance, contract, and chaos/resilience engineering. 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.
This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.
Success Means
- Architect enterprise-grade test solutions that validate systems scaling seamlessly from thousands to millions of requests per second
- Building reusable test frameworks and platform libraries that accelerate quality 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 and quality culture
- Deliver with velocity while maintaining the highest standards of security and reliability
Responsibilities
- Own end-to-end validation of AIDR services across cloud-side backend and UI layers, spanning component, integration, and application levels, while continuously improving test and validation processes
- Build and own AIDR-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing tools and infrastructure
- Define and drive testing strategies across functional, performance, contract, and chaos/resilience testing concerns
- Verify features and functionality spanning our processing, data, and customer-facing application layers to ensure reliability, accuracy, and performance at scale
- Participate in code and design reviews with a focus on quality, testability, security, and code hygiene
- Review engineering technical design documents and requirements; provide guidance and strategy on how and where to build in testability
- Contribute to service operations, including improving overall service observability and monitoring, root cause analysis of production issues, and implementing quality improvements to prevent future outages
- Increase and improve automated test coverage across both backend services and UI applications
- Mentor team members on testing methodologies, secure coding practices, and quality engineering
- Leverage new open source solutions and AI-powered tools to build innovative testing approaches
Requirements
- 8+ years of experience as an SDET or Backend/UI Developer (combined)
- 3+ years building testing frameworks and tooling for a Cloud SaaS product or similar SOA
- Experience contributing to or defining testing strategy at a team or organizational level
- Strong debugging skills: ability to spot design flaws, race conditions, and performance bottlenecks in complex distributed architectures
- Strong computer science fundamentals (algorithms, data structures, distributed systems)
- Expertise in at least one of: Golang, Python, Java — Go is our primary backend language, but strong engineers in any of these are welcome and we support ramp-up
- Experience in a cloud distributed systems stack: e.g., Kubernetes, PostgreSQL, Redis, Kafka, and/or similar technologies — transferable skills in each category are a must
- Experience with cloud services such as AWS, GCP, or OCI, particularly compute and storage offerings
- Experience with CI/CD pipelines and integrating automated testing into deployment workflows
- Experience developing and deploying in containerized environments (e.g., Docker, Kubernetes)
- Extensive experience with testing tools and best practices (e.g., Jest, QUnit, Cypress, Playwright, JUnit, TestNG)
- Experience testing REST and/or gRPC APIs and real-time or high-volume data systems
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
- Strong cross-group collaboration and interpersonal communication skills working across engineering organizations
- Experience mentoring engineers and driving quality culture across a team or organization
Skills
- Previous experience in cybersecurity companies or security-focused products
- Deep understanding of AI/ML security challenges, threats, and mitigation strategies
- Experience building, operating, validating, and scaling low-latency cloud services using gRPC and event-driven messaging systems such as Kafka or Pulsar
- Experience with UI testing frameworks and front-end validation (Ember.js, React, or similar)
- Experience with data visualization testing and accessibility validation
- Experience with performance measurement, profiling, and optimization (both backend and frontend)
- Experience with chaos engineering and resilience testing
- Hands-on experience with Oracle Cloud Infrastructure (OCI), Google Cloud Platform (GCP), and/or Microsoft Azure
- Experience leveraging AI and agentic tools to enhance testing workflows and automation
- Contributions to open source libraries and/or frameworks
- Familiarity with MS CoPilot Ecosystem and MS Agent Studio
Benefits
- 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
Pay
The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.