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Lead QA Automation Engineer

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Hybrid

Lead QA Automation Engineer

Tech Mahindra

Lead QA Automation Engineer

Skills

DockerTypescriptJavaTesting & QAGitLabJenkinsPostmanSplunkSeleniumPlaywrightAIAWSGitHubJavascript

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹2,250,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

7 September 2026

What they need


Role: Lead QA Automation Engineer

Location: Pune

Exp: 10+ years

Notice: 0-30 Days

Role Overview

We are seeking an experienced Lead QA Automation lead/Manager with strong expertise in designing and implementing enterprise-scale test automation frameworks for web, API, and mobile applications. The ideal candidate should have extensive experience in Agile environments, CI/CD implementation, cloud-native testing, and quality engineering practices within Banking, FinTech, Payments, Digital Banking,

Key Responsibilities

  • Design, develop, and maintain scalable automation frameworks for UI, API, and Mobile testing.
  • Lead end-to-end quality assurance activities including test strategy, planning, execution, and release validation.
  • Develop automation solutions using Selenium, Playwright, Appium, Rest Assured, and related technologies.
  • Should have strong hold on any language, e.g. Java, JavaScript, typescript etc...
  • Build BDD/TDD automation frameworks using Cucumber, TestNG, JUnit, or Karate.
  • Integrate automated tests into CI/CD pipelines using Jenkins, GitLab CI/CD, CloudBees, Docker, and related DevOps tools.
  • Drive Shift-Left testing practices through early test involvement in requirements and design discussions.
  • Perform API validation, contract testing, and integration testing for REST/SOAP services.
  • Collaborate with development, DevOps, product, and business teams to ensure high-quality software delivery.
  • Mentor QA engineers and establish automation best practices across projects.
  • Conduct performance and load testing using JMeter.
  • Analyze logs and monitoring data using Splunk, AWS CloudWatch, Dynatrace, or similar observability platforms.

Nice to Have

  • Experience with Mambu or other Core Banking platforms.
  • Splunk, Dynatrace, MuleSoft exposure.
  • AI-assisted Quality Engineering tools such as GitHub Copilot, Claude, Gemini, Postman AI.
  • Mobile Banking Application Testing.
  • Cloud-native application testing

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