LEAD QA-Playwright Automation

NewVision Software; Pune District; On-site; INR 450,000 - 650,000; Full time

Job summary

NewVision Software is seeking a senior QA Automation engineer to drive automation strategy across cloud-based applications. You will architect and implement reusable frameworks, mentor teams, and integrate AI-driven QA practices to improve test design and defect triage.

You will collaborate with onshore/offshore teams, ensure secure data handling, and uphold quality metrics within Agile delivery. Pune‑based role with on‑site requirements.

Qualifications

• 9–11+ years of QA Automation / Quality Engineering experience.
• Advanced API automation – REST, Open API/Swagger, Postman, service virtualization, and backend validation.
• Experience architecting automation for cloud, distributed, and enterprise applications.
• Strong Azure DevOps / CI-CD experience – source control, branching, PRs, quality gates, test reporting, parallel execution, environment management, and failure analysis.
• Proven experience building reusable automation frameworks, libraries, fixtures, utilities, reporting, and test-data solutions.
• Experience defining automation patterns, coding standards, review practices, technical standards, and quality gates.
• Hands‑on Generative AI / AI coding assistant experience for QA – test design, code generation, maintenance, test data, defect triage, and quality insights.
• Ability to evaluate AI outputs and establish human validation, secure data handling, traceability, maintainability, and responsible‑use practices.
• Strong knowledge of SDLC, Agile, BDD, risk‑based testing, continuous testing, and quality metrics.
• Proven technical leadership across complex automation initiatives and multiple applications/teams.
• Experience with code reviews, pairing, technical workshops, mentoring, and cross‑team enablement.
• Ability to assess automation needs, select fit‑for‑purpose tools, and create adoption roadmaps.
• Experience working with onshore, offshore, and co‑sourced teams.
• Strong communication skills to report progress, risks, adoption, and measurable outcomes.

Responsibilities

• Design and implement QA automation strategies across cloud and enterprise apps.
• Lead cross‑functional teams to deliver reusable automation assets and data strategies.
• Mentor engineers, run tech workshops, and establish coding standards.
• Evaluate AI outputs, ensure data security, and maintain traceability in tests.

Skills

QA Automation

API automation

Automation leadership

Cloud & distributed apps

Azure DevOps / CI-CD

Reusable frameworks

AI in QA

SDLC / Agile

Mentoring teams

Tool selection & roadmaps

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Selenium Grid

Postman

Service virtualization

Job description

• 9–11+ years of QA Automation / Quality Engineering experience.
• Advanced API automation – REST, Open API/Swagger, Postman, service virtualization, and backend validation.
• Experience architecting automation for cloud, distributed, and enterprise applications.
• Strong Azure DevOps / CI-CD experience – source control, branching, PRs, quality gates, test reporting, parallel execution, environment management, and failure analysis.
• Proven experience building reusable automation frameworks, libraries, fixtures, utilities, reporting, and test-data solutions.
• Experience defining automation patterns, coding standards, review practices, technical standards, and quality gates.
• Hands‑on Generative AI / AI coding assistant experience for QA – test design, code generation, maintenance, test data, defect triage, and quality insights.
• Ability to evaluate AI outputs and establish human validation, secure data handling, traceability, maintainability, and responsible‑use practices.
• Strong knowledge of SDLC, Agile, BDD, risk‑based testing, continuous testing, and quality metrics.
• Proven technical leadership across complex automation initiatives and multiple applications/teams.
• Experience with code reviews, pairing, technical workshops, mentoring, and cross‑team enablement.
• Ability to assess automation needs, select fit‑for‑purpose tools, and create adoption roadmaps.
• Experience working with onshore, offshore, and co‑sourced teams.
• Strong communication skills to report progress, risks, adoption, and measurable outcomes.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.

Good-to-Have Skills

• Performance, Accessibility, Visual, Mobile, or Contract Testing.
• Selenium Grid or other distributed execution approaches.
• Experience establishing an Automation CoE / Community of Practice.
• Experience with AI prompting, AI‑driven QA solutions/test agents, and emerging AI capabilities.
• Experience translating emerging automation and AI capabilities into engineering standards.
• Experience partnering with QA leadership on capability priorities, investment, staffing, governance, and success metrics.