Senior Engineer, SDET (AI Detection and Response)

TL;DR

Senior Engineer, SDET (AI Detection and Response): Expanding test coverage and modernizing test infrastructure for AI security controls across distributed systems, processing nearly 3 trillion events per day. Focus on implementing and scaling contract testing, establishing AI quality frameworks, and developing comprehensive E2E test scenarios.

Location: Hybrid, requiring 2-3 days per week on-site at Sunnyvale, CA, Austin, TX, or Redmond, WA, USA.

Salary: $140,000–$215,000 per year

Company

hirify.global is a global leader in cybersecurity, protecting modern organizations with the world’s most advanced AI-native platform.

What you will do

• Design and implement contract testing framework to verify API contracts between various system components.
• Contribute comprehensive test strategies spanning unit, integration, and 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, metrics dashboards, and alerting.

Requirements

• 10+ years of 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.
• Expertise in programming languages: Python, Go, Javascript.
• Deep understanding of cloud architectures and microservices.
• Experience with web services (REST, gRPC, Protocol Buffers) and data storage systems (PostgreSQL, Redis).
• Experience with container technologies (Docker, Kubernetes) and CI/CD pipelines in cloud environments (AWS/Azure/GCP).
• Strong debugging skills with ability to troubleshoot complex distributed systems.
• English: B2 required.

Nice to have

• Experience testing AI/ML systems, LLM applications, or prompt engineering security.
• Performance testing experience with large-scale SaaS products handling high throughput.
• Familiarity with ML development lifecycle, model training, evaluation, and deployment.
• Hands-on experience with AI efficacy testing, adversarial testing, or red teaming.
• Experience with browser extension testing frameworks or API gateway testing.

Culture & Benefits

• Market-leading compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge, plus paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Vibrant office culture with world-class amenities and Great Place to Work Certified™.
• US-specific benefits include health insurance and 401k.