Software Engineer (SWE & QE) - UI Focused

4 - 10 years

5 - 9 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
  • Collaborate with product managers to translate requirements into we'll-architected solutions, owning features from design through delivery
  • Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
  • Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
  • Integrate automated testing into development workflows to ensure consistent quality across releases.
  • Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
  • Develop comprehensive test strategies covering functional, regression, integration and performance aspects
  • Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
  • Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.

To be successful in this role you have:

  • Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powe'red tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on the function or industry.
  • 4 to 10 years of experience in software engineering, with a track record of delivering high-quality products.
  • Experience with building complex web applications using web components.
  • Experience with modern front-end frameworks such as Angular, React, or Vue.
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
  • Familiarity with automated testing frameworks (eg, JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
  • Understanding software quality principles including reliability, observability, and production readiness.
  • Ability to troubleshoot complex systems and optimize performance across the stack.
  • Experience with AI-powe'red tools or workflows, including validation of datasets, model predictions, and inference consistency.
  • Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems

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