Job Closed
This listing is no longer active.
QA Automation Architect - Selenium & Playwright
Location
India
Posted
13 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
QA Automation Architect - Selenium & Playwright
RELQ Technologies
Role Description We are seeking an experienced QA Automation Architect with deep expertise in designing, developing, and scaling automation frameworks using Selenium WebDriver, Playwright, and Java. This role is critical in driving automation strategy, enhancing test coverage, and ensuring the reliability of our SaaS-based HRMS solutions. The ideal candidate will lead automation architecture initiatives, collaborate closely with cross-functional teams, guide QA processes, and elevate overall product quality within an Agile development environment. - Lead the design and development of scalable automation frameworks using Selenium WebDriver (Java) and Playwright. - Architect and implement end-to-end test automation strategies, aligning with product and engineering goals. - Build reusable, maintainable, and high-performing automation suites for web applications. - Oversee and contribute to the creation of manual and automated test plans, test cases, and scripts. - Integrate automated suites into CI/CD pipelines (Jenkins, GitHub Actions) and collaborate with DevOps teams to optimize execution. - Conduct and guide cross-browser & cross-platform testing using tools like BrowserStack/Sauce Labs. - Perform and support API testing using Postman, RestAssured, or similar tools. - Contribute to performance testing initiatives using tools such as JMeter. - Promote best practices in BDD/TDD, test strategy, test data management, defect lifecycle, and quality metrics tracking. - Actively participate in Agile ceremonies including daily stand-ups, sprint planning, grooming, retrospectives, and demos. - Evaluate emerging testing tools and technologies, making recommendations to enhance automation efficiency. - Provide mentorship and technical guidance to QA engineers, ensuring consistent QA standards across teams. Qualifications - 7+ years of experience in Software QA, including substantial automation experience. - 3+ years of hands-on expertise in Selenium WebDriver automation using Java. - Strong proficiency in Java programming and object-oriented design principles. - Experience with automation frameworks such as TestNG, JUnit, and BDD tools like Cucumber. - Working knowledge of Playwright for modern end-to-end automation. - Solid understanding of manual testing practices: exploratory, regression, functional, and integration testing. - Strong experience with CI/CD tools: Jenkins, Git, Docker. - Hands-on experience in API testing using Postman, RestAssured, or similar tools. - Exposure to performance testing using JMeter is highly desirable. - Experience with cloud-based testing environments (BrowserStack, Sauce Labs, etc.). - Familiarity with Agile methodologies and DevOps culture. - Excellent analytical, problem-solving, and debugging skills. - Strong verbal and written communication with the ability to collaborate across engineering and product teams.
Related Guides
Related Categories
Related Job Pages
More QA Automation Engineer Jobs
Lead AI Engineer, AI Systems – Automation
BJAKBjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of observability systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems and lead root-cause analysis. • Define engineering standards and best practices for AI system development. • Mentor engineers and elevate technical execution quality across teams.
Lead AI Engineer – AI Systems, Automation
BJAKBjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of observability systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems and lead root-cause analysis. • Define engineering standards and best practices for AI system development. • Mentor engineers and elevate technical execution quality across teams.
Lead AI Engineer, AI Systems – Automation
BJAKBjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of observability systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems and lead root-cause analysis. • Define engineering standards and best practices for AI system development. • Mentor engineers and elevate technical execution quality across teams.
Lead AI Engineer – AI Systems, Automation
BJAKBjak is a technology company focused on making financial services easy, fun and more rewarding for everyone
• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of observability systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems and lead root-cause analysis. • Define engineering standards and best practices for AI system development. • Mentor engineers and elevate technical execution quality across teams.
