Job Summary

Role Overview - We are looking for a Quality Engineering Lead with 5-6 years of experience in Software Quality Assurance, Automation Testing, and AI-enabled Quality Engineering. The ideal candidate will drive enterprise test strategies, build scalable automation frameworks, integrate quality engineering into CI/CD pipelines, mentor QA teams, and implement AI-driven testing practices across Agile and DevOps environments.
Responsibilities
- Define and implement enterprise Quality Engineering strategies, standards, and best practices.
- Design, develop, and maintain scalable automation frameworks using Playwright, Selenium, and modern automation technologies.
- Develop reusable automation libraries for UI, API, Database, and End-to-End testing.
- Integrate automated testing into CI/CD pipelines using Jenkins, GitLab CI/CD, and GitHub Actions.
- Implement automated quality gates within Agile and DevOps delivery pipelines.
- Perform Performance Engineering using K6, JMeter, and analyze application performance bottlenecks.




- Validate REST APIs using Postman and automation frameworks.
- Drive AI-enabled testing initiatives using Generative AI, LLMs, Agentic AI, and intelligent automation techniques.
- Mentor QA engineers, conduct technical reviews, and provide automation framework guidance.
- Collaborate with development, DevOps, product, and business teams to ensure end-to-end product quality.
- Manage defect lifecycle, test planning, execution, reporting, and continuous quality improvements.
Requirements
- 5-6 years of experience in Software Quality Assurance, Automation Testing, and Quality Engineering.
- Expert-level experience with Playwright, Selenium, and automation frameworks using TypeScript/JavaScript, Python, or Java.
- Solid experience in UI, API, Database, and End-to-End automation testing.
- Hands-on expertise in CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions.
- Experience integrating automated testing into Agile, DevOps, and cl

📌 QA Analyst (Hyderabad)
🏢 Devlats
📍 Hyderabad