Related skills
gitlab jenkins aws python ai📋 Description
- Design and implement intelligent test analysis systems to identify quality gaps and optimize testing.
- Design systems to collect and act on testing data to improve quality processes.
- Systematic regression tracking to prevent regression reoccurrence.
- New metrics to improve test quality beyond pass/fail, focusing on regression prevention.
- Use AI-powered tools for automated failure analysis and root-cause detection.
- Define architectures to make testing more effective and maintainable.
🎯 Requirements
- 5+ years in test architecture and automation design.
- 8+ years programming in multiple languages, notably Python.
- Proven track record leading test transformation improving effectiveness and reducing issues.
- AI testing expertise using LLMs and predictive analytics.
- CI tools such as Jenkins, GitLab, TeamCity, AWS optimized for quality gates.
- Advanced test analysis: flakiness, failure patterns, automated root cause.
- Strong communication to influence leadership on quality initiatives.
- Working knowledge of C++.
🎁 Benefits
- Global access to mental health and financial wellness support and resources.
- Local benefits include healthcare, life, disability, and retirement options.
- Paid time off for vacation and personal reasons.
- Not all benefits are available in all locations; consult your recruiter for details.
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