Sr. Engineer, SDET - AI Detection and Response (AIDR) (Hybrid, Sunnyvale)

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. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers 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.

You'll work closely with engineering teams to expand test coverage across unit, integration, contract, and end-to-end layers while modernizing our test infrastructure. This role combines deep technical expertise in test automation with strategic thinking about quality at scale. You'll be building the testing foundation that ensures reliability and performance as we deploy AI security controls across browser extensions, API gateways, cloud platforms, and agentic systems. Success Means: Contract Testing Excellence: Implement and scale contract testing across all services and API boundaries, reducing integration testing dependencies. Coverage Expansion: Work with service owners and independently to improve test coverage from current baseline - unit, integration, and E2E tests.

Velocity: Onboard rapidly and contribute meaningfully within the first 60 days to an already fast-paced engineering environment. AI Quality Framework: Establish and/or contribute to efficacy testing of LLM models with measurable accuracy metrics.

Design and implement contract testing framework to verify API contracts between various system components. Contribute comprehensive test strategies spanning unit, integration, contract testing layers Establish testing patterns and best practices for AI-powered detection capabilities and models efficacy Develop comprehensive E2E test scenarios covering multi-collector deployments and policy enforcement workflows. Implement quality telemetry through observability with detailed reporting. Create metrics dashboards, and alerting. Work with SRE and developers to create playbooks and support documentation.

10+ years combined software development and test automation experience with a proven track record of establishing quality frameworks and delivering reliable, scalable test coverage for enterprise-grade cloud SaaS products at scale. Experience building testing frameworks and tooling for Cloud SaaS products Strong computer science fundamentals (algorithms, data structures, distributed systems) Expertise at programming languages: Python, Go, Javascript 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  Experience with CI/CD pipelines and testing in cloud environments (AWS/Azure/GCP) Strong debugging skills with ability to troubleshoot complex distributed systems  Experience with cloud performance testing and monitoring tools (e.g., JMeter, Gatling, New Relic,