QA Engineer
Core
Own end-to-end quality for Lynx, an AI agent detection and runtime security platform for Kubernetes, ensuring release confidence and validating ML-driven behavioral signals.
Role type
Senior IC QA Engineer (AI/ML & Distributed Systems)
Builds
Automated test suites, CI pipelines, synthetic data fixtures, and validation frameworks for AI-driven security products.
Domain
Cybersecurity, Kubernetes, AI/ML, Runtime Telemetry
Deliverable
production ML models | product features
Required skills
Test automation, CI/CD pipeline design, distributed systems testing, Python programming, debugging multi-service systems, AI tooling advocacy
Preferred skills
AI/ML system testing, Kubernetes cluster management, observability pipelines (ClickHouse, Prometheus), performance/chaos testing, eBPF knowledge
Technologies
Python, Kubernetes, Docker, CI/CD tools, ClickHouse, Prometheus, Claude Code
Responsibilities
Design and build automated test suites and CI pipelines; test distributed Kubernetes-native systems under load; develop approaches for validating ML-driven behavior and detection accuracy; build tooling and synthetic data for edge cases; investigate and report defects; serve as the quality voice in release decisions.
Seniority
Senior, hands-on IC