QA engineer
America/Los_Angeles - PST / PDT
Summary
I bring over 15 years of experience in QA engineering, test automation, and release quality leadership. My
career spans building scalable automation frameworks, embedding QA into Agile workflows, and recently,
validating AI-driven analytics powered by large language models (LLMs).
I have led QA strategy and built Python-based automation frameworks integrated with CI/CD
(Jenkins, GitHub Actions), reducing release cycles by 50%. Leveraging GitHub Copilot, I accelerated test
creation, documentation, and pipeline automation, increasing productivity by 40%. Experienced in testing text analytics through Azure OpenAI, AWS Bedrock, and Google Gemini, ensuring scalability, accuracy, and performance of LLM-enabled analytics solutions.
Beyond technical execution, I bring a strong leadership track recordmentoring QA engineers, driving
adoption of Agile/Scrum, and managing projects with JIRA and Confluence for transparent reporting. I
thrive in cross-functional collaboration, aligning QA, DevOps, and Product teams to deliver reliable,
customer-focused solutions at scale.
Expectations
Im looking for a role where I can leverage my experience in test automation, QA strategy, and CI/CD to contribute to high-quality product releases. I value a collaborative team environment, opportunities to learn emerging technologies, and a culture that encourages innovation and continuous improvement. Im seeking a position where I can lead QA initiativesdefining testing strategies, mentoring teams, and improving automation frameworks. Im especially interested in organizations that prioritize quality early in the development cycle and encourage cross-functional collaboration between development, DevOps, and QA.
Employment Preferences
Expected Base Salary
**0,000 USD
Expected Total Compensation
**0 USD
Expected Hourly Rate
**0 USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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