
Engineering Quality Lead – AI, Product Quality
Posted Jul 22

Posted Jul 22
This is a fully remote position, open to applicants in India.
• Examine Jira issues, incidents, support tickets, and production defects
• Utilize AI to trace issues back to their root causes in the codebase
• Review pull requests and production code with the aid of AI
• Detect recurring defect patterns
• Develop defect taxonomies
• Suggest architectural enhancements
• Identify technical debt
• Enhance engineering practices
• Construct engineering quality dashboards
• Create AI workflows to boost engineering effectiveness
• Generate Playwright tests using AI
• Evaluate AI-generated tests
• Elevate automation quality
• Produce API tests
• Create integration tests
• Develop regression tests
• Generate edge-case tests
• Analyze production incidents and automatically produce regression tests
• Integrate automation into CI/CD pipelines
• Enhance automation coverage across engineering teams
• Lead engineering teams to ensure quality in every release
• Mentor developers on engineering best practices
• Guide QA engineers on AI-assisted automation
• Foster engineering accountability
• Conduct root cause analyses
• Challenge subpar engineering practices
• Enhance release readiness
• Define engineering standards
• Improve engineering quality metrics
• Drive measurable reductions in production defects
• Analyze escaped defects
• Identify recurring engineering challenges
• Define corrective actions
• Establish preventive measures
• Enhance engineering processes
• Elevate code review quality
• Improve release quality
• Decrease customer-reported defects
• Boost engineering productivity through AI
• Over 8 years of professional software engineering experience
• More than 4 years of hands-on software development (coding) experience
• Proven experience in leading software engineering teams that include both software developers and QA engineers
• Demonstrated success in utilizing AI (Claude Code, Cursor, Copilot, ChatGPT, Gemini, etc.) to enhance engineering practices and product quality
• Experience managing teams of both software developers and QA engineers
• Proficient in using AI and Playwright to create, review, and maintain automated tests
• Skilled in analyzing production defects, identifying root causes, and implementing preventive engineering enhancements
• Strong experience with Java and/or Python development
• Solid understanding of software architecture
• Comprehensive knowledge of CI/CD practices
• Excellent debugging skills
• Strong root cause analysis abilities
• Experience in enhancing engineering quality
• Willingness and capability to work during core India business hours, in addition to collaborating with global teams
• Competitive compensation package including salary, equity, and benefits
• Hybrid-friendly work environment, requiring in-office presence 2-3 times per week for those located in New York, San Francisco Bay Area, and Munich
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