Engineering Manager, SDET - AI Detection and Response (AIDR) (Hybrid)
CrowdStrikeSunnyvale, CA · full time · Management
$140,000 – $215,000
Listed on CrowdStrike’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a team of test automation engineers building validation frameworks for a massive-scale AI security platform processing millions of events per second. This role blends hands-on coding and test architecture with people leadership, demanding both deep technical chops in distributed systems and the ability to grow and mentor a high-performing team.
Our summary, not CrowdStrike’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Kafka
- Cypress
- Docker
- gRPC
- Java
- JavaScript
- Jest
- JUnit
- Kubernetes
- Playwright
- PostgreSQL
- Python
- Redis
- REST APIs
- TestNG
- TypeScript
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What they ask for
Required
- 10+ years in software development or SDET roles
- 3+ years engineering management leading SDET or quality engineering teams
- Production-quality test framework development
- Hands-on distributed systems debugging
- Cloud SaaS testing frameworks at scale
- Testing strategy definition and execution
- One or more of: Golang, Python, Java, JavaScript, TypeScript
- Cloud distributed systems experience (Kubernetes, PostgreSQL, Redis, Kafka)
- AWS, GCP, or OCI cloud services
- Testing tools and frameworks (Jest, Cypress, Playwright, JUnit, TestNG)
- CI/CD pipeline integration with automated testing
- Docker and Kubernetes containerization
- REST and/or gRPC API testing
- High-volume data systems testing
- Team hiring, development, and retention
- Technical and non-technical communication
- AI technologies for decision-making and workflow enhancement
Nice to have
- Cybersecurity company or security product experience
- AI/ML security challenges and mitigation understanding
- Low-latency gRPC and event-driven messaging (Kafka, Pulsar)
- Chaos engineering and resilience testing tools
- UI test automation and front-end frameworks
- Performance testing and load generation at scale
- Oracle Cloud Infrastructure, GCP, or Azure hands-on experience
- AI and agentic tools for testing automation
- Shared testing infrastructure platform ownership
- Quality culture building from the ground up
- Open source contributions