Engineering Quality Lead – AI, Product Quality

pulsESG

Engineering Quality Lead overseeing AI-driven engineering quality improvements in a rapidly growing AI-powered software company. Focus on integrating quality into the product lifecycle through innovative engineering practices.

Posted 7/22/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering, with a strong focus on AI-driven improvements in engineering practices and quality metrics. Proven ability to lead teams, enhance automation processes, and implement effective testing strategies.

Highest-signal resume keywords

AI-Driven Engineering ImprovementsJava DevelopmentPython DevelopmentCI/CD IntegrationAutomated Testing with Playwright

ATS Keywords

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Hard Skills

Software EngineeringRoot Cause AnalysisDebuggingDefect AnalysisTest AutomationEngineering Quality ImprovementArchitectural RecommendationsDefect Taxonomy BuildingEngineering Process ImprovementCode Review

Soft Skills

Team LeadershipCoachingCollaborationAccountabilityCommunication

Tools & Technologies

JiraPlaywrightAI Tools (Claude Code, Cursor, Copilot, ChatGPT, Gemini)CI/CD Tools

Industry Keywords

Software DevelopmentEngineering Best PracticesProduction DefectsQuality MetricsAutomation Coverage

Tech Stack

Tools & technologies

JavaPython

About the role

Key responsibilities & impact

Analyze Jira issues, incidents, support tickets, and production defects
Use AI to trace issues to root causes in the codebase
Review pull requests and production code using AI
Identify recurring defect patterns
Build defect taxonomies
Recommend architectural improvements
Identify technical debt
Improve engineering practices
Build engineering quality dashboards
Create AI workflows that improve engineering effectiveness
Generate Playwright tests using AI
Review AI-generated tests
Improve automation quality
Generate API tests
Generate integration tests
Generate regression tests
Generate edge-case tests
Analyze production incidents and automatically generate regression tests
Integrate automation into CI/CD
Improve automation coverage across engineering teams
Lead engineering teams to build quality into every release
Coach developers on engineering best practices
Coach QA engineers on AI-assisted automation
Drive engineering accountability
Conduct root cause reviews
Challenge poor engineering practices
Improve release readiness
Define engineering standards
Improve engineering quality metrics
Drive measurable reductions in production defects
Analyze escaped defects
Identify recurring engineering issues
Define corrective actions
Define preventive actions
Improve engineering processes
Improve code review quality
Improve release quality
Reduce customer-reported defects
Improve engineering productivity using AI

Requirements

What you’ll need

8+ years of professional software engineering experience
4+ years of hands-on software development (coding) experience
Experience leading software engineering teams that include both software developers and QA engineers
Demonstrated success using AI (Claude Code, Cursor, Copilot, ChatGPT, Gemini, etc.) to improve engineering practices and product quality
Experience managing both software developers and QA engineers
Experience using AI and Playwright to create, review, and maintain automated tests
Experience analyzing production defects, identifying root causes, and implementing preventive engineering improvements
Strong Java and/or Python development experience
Strong understanding of software architecture
Strong understanding of CI/CD
Strong debugging skills
Strong root cause analysis skills
Experience improving engineering quality
Willingness and ability to work core India business hours, plus collaborate with global teams

Benefits

Comp & perks

The company will pay with salary, equity, and benefits
Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)