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Senior Software Engineer (Quality) - Consumer Intelligence & Engagement

PUMA
Maharashtra, IND
Onsite
Discovered 1 weeks ago
Quality engineeringTest strategyTest automationPlaywrightCypressAppium
Free

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Quality engineeringTest strategyTest automation
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Role overview

Join PUMA's Consumer Intelligence & Engagement organisation, which delivers personalization, recommendation, experimentation, and consumer intelligence capabilities.

Own quality strategy, test automation, and test execution for AI-powered and data-driven consumer experiences.

Partner with Software Engineers, Tech Leads, Product Owners, and Data Engineering teams to enable reliable releases.

Responsibilities

  • Define quality strategy and standards for personalization, recommendation, experimentation, and consumer intelligence capabilities.
  • Build and maintain automated API, integration, contract, functional, and end-to-end test frameworks.
  • Validate recommendation outputs, personalization rules, segmentation, and experimentation journeys.
  • Establish test data, test environments, quality gates, CI/CD integration, and risk-based testing practices.
  • Improve coverage, regression efficiency, defect detection, quality metrics, and engineering productivity.
  • Coach engineers on test automation, quality practices, and continuous improvement.

Requirements

  • 7+ years of experience in quality engineering, test strategy, and test automation.
  • Experience designing and scaling automation frameworks for modern digital platforms.
  • Hands-on experience with Playwright, Cypress, Appium, Selenium, or equivalent frameworks.
  • Experience with API, integration, contract, end-to-end, regression, and release validation testing.
  • Experience building automated quality pipelines integrated with CI/CD processes.
  • Strong understanding of APIs, microservices, event-driven architectures, and distributed systems.
  • Experience using coding agents, AI-assisted testing tools, or LLMs to improve testing productivity.

Preferred experience

  • Experience with observability setup for quality engineering and production quality analytics is preferred.
  • Experience in eCommerce, retail, consumer digital products, personalization, or recommendation platforms is strongly preferred.

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