AI-Augmented Quality Automation Engineer

What you’ll do:

Identify, design, and implement AI-powered capabilities to modernize QA processes, including:

AI-assisted code and test reviews

Intelligent automation results analysis and failure classification

Automated error detection, root-cause analysis, and defect triage

Detection of flaky tests, gaps in coverage, and quality risks

Partner closely with engineering, architecture, and platform teams to embed AI into CI/CD pipelines and QA frameworks.

Lead quality discussions during grooming, design, and architecture reviews to shift quality left using data-driven and AI-assisted insights.

Own and evolve enterprise-level automation frameworks, integrating AI where it improves signal quality and decision-making.

Analyze integration, end-to-end, and production-adjacent signals to provide actionable insights on system health and release readiness.

Define and track advanced quality metrics and KPIs, leveragin...