Teams at Kira Learning

Perform hands-on manual, regression, exploratory, functional, acceptance, and release testing across web applications and AI-powered workflows. Create actionable bug reports, collaborate with engineers to reproduce and verify fixes, assess usability and edge cases, support release readiness, and contribute to QA documentation. The role requires validating complex teacher and student workflows and evaluating the reliability and graceful degradation of non-deterministic AI outputs.

Own and improve core backend systems and infrastructure: build reliable, scalable services, improve observability and CI/CD, operate production systems, design APIs and data layers, lead technical decisions, mentor engineers, and partner with product to ship end-to-end features.

Lead quality strategy and automation across frontend, backend, and AI services. Design scalable end-to-end and performance tests, build workload models, diagnose bottlenecks, integrate AI-assisted testing tools, improve CI/CD test observability, mentor engineers, and raise release confidence for a fast-moving education AI platform.