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Executive QA Platform Engineer

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Onsite

Executive QA Platform Engineer

Macquarie

Executive QA Platform Engineer

Skills

Google Cloud PlatformSQL QueriesDockerTypescriptPythonTesting & QAMicroservicesPlaywrightAIAWSKubernetesJiraJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


Job Details

  • Additional office locations: Gurugram
  • Employment Type: Permanent - Full time, Mid-level
  • Job category: Other

What role will you play

In this role as a QA Automation Expert, you will independently drive complex quality engineering and test automation initiatives across cloud-native, distributed, and AI-enabled applications. You will have the opportunity to build scalable automation solutions, solve challenging testing problems, contribute to automation and engineering improvements, and leverage modern technologies including Playwright, AWS/GCP, CI/CD, and AI-assisted testing to enhance quality engineering effectiveness.

What you offer

  • 5+ years experience in Quality Engineering and Test Automation, with strong hands-on expertise in frameworks such as Playwright, Serenity, Pytest, Cucumber, or similar technologies.
  • Advanced proficiency in Python and/or JavaScript/TypeScript, with proven experience designing, building, and maintaining scalable automation frameworks using sound software engineering principles, design patterns, and code quality standards.
  • Proven experience automating functional, regression, integration, API, and end-to-end testing across web applications, REST APIs, microservices, and cloud-native architectures, supported by strong test data management and data quality practices.
  • Strong understanding of modern quality engineering practices, including BDD, TDD, Shift-Left Testing, Risk-Based Testing, continuous testing, and SQL/database validation across data warehouses, data lakes, and platforms such as BigQuery.
  • Experience implementing automated testing within CI/CD pipelines and validating applications deployed on AWS and/or GCP, with a strong focus on framework scalability, continuous improvement, and engineering excellence.
  • Practical experience leveraging AI-assisted engineering tools to improve testing efficiency and automation coverage, with knowledge of quality engineering considerations for AI-enabled applications, including model evaluation, reliability testing, and guardrail validation.
  • Strong analytical, problem-solving, stakeholder management, and communication skills with a high degree of ownership; experience with Docker, Kubernetes, Jira/Xray, custom testing tools, AI agents, or Asset Management and Financial Services domains is advantageous.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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