Job Description: QA Automation Lead
Experience Required: 10–15 Years
Location: Indore / Pune / Bangalore

Role: QA Automation Architect / SDET Transformation Lead – AI-Enabled Quality Engineering
This is a transformation role with a robust technical foundation. The person must be able to inspect frameworks, question architecture choices, challenge release practices, push for better testability, and translate QA execution into measurable assurance.

What This Person Will Own
1. Technical QA Architecture
Design and govern scalable automation frameworks across UI, API, database, and integration testing.
Provide hands-on leadership in Python, Java, Playwright, Selenium, pytest, Rest Assured, API automation, and CI/CD-integrated execution.
Review framework design, coding standards, test data strategy, reporting, maintainability, and automation health.
Partner with architects to evaluate trade-offs, delivery constraints, release risk, and quality impact.
Challenge weak engineering practices when they create downstream QA risk.
Protect QA standards when delivery pressure increases.
2.



QA Operating Model
Standardize QA processes, artifacts, tooling, defect workflows, release-readiness reporting, and test governance across programs.
Define metrics that demonstrate:
Requirement coverage
Automation health
Defect patterns
Triage speed
Release risk
Escaped defects
Regression depth
Readiness to ship
Build reusable playbooks for sprint QA, regression, automation review, release validation, test data readiness, defect triage, and production-readiness checkpoints.
Create the first version of missing artifacts when programs lack structure, such as release notes, test summaries, coverage reports, or readiness dashboards.
3. AI-Enabled QA Transformation
Translate recurring QA work into repeatable workflows that can be supported by AI agents, prompt templates, and skill files.
Identify QA tasks suitable for agent-assisted execution, including:
Test-case generation
Coverage mapping
Failu

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