Senior Software Engineer

Summary
We are looking for a Software Engineer (Quality Engineering) to validate a microservices-based platform. The successful candidate will be driven by quality and will build dependable, scalable test suites for a highly available enterprise-grade payment application.

Job Responsibilities:

• Design, develop, automate, and maintain Integration and End-to-End (E2E) test cases to help ensure application quality and reliability.
• Create Test Strategies, Test Plans, and Test Estimates for the projects, features, and releases assigned to you.
• Track, communicate, and report the progress of assigned tasks, stories, defects, and testing activities while upholding overall application quality and hygiene.
• Perform peer reviews of automated test scripts to confirm alignment with coding standards, best practices, maintainability, and reusability.
• Work closely with cross-functional stakeholders, including Product Owners, Developers, TPMs, and DevOps teams, to support successful delivery of features and releases.
• Meet organizational process requirements, policies, security standards, and intellectual property protection obligations.
• Recognize areas for process improvement and actively participate in organizational quality initiatives, best practices, and knowledge-sharing efforts.
• Contribute to ongoing enhancements of test automation frameworks, testing processes, and quality engineering standards.

• Practical experience writing end-to-end test scenarios, test cases, and executing testing activities for enterprise applications.
• Strong experience with test automation frameworks built on Java, including Playwright, Cucumber, Karate, or comparable technologies.
• Hands-on experience with Core Java, Spring, Spring Boot, Rest Assured, SOAP services, JSON, and XML.
• Experience with API testing tools such as Insomnia, SOAP UI, or similar solutions.
• Strong SQL and database testing experience with Oracle or other relational database management systems.
• Experience testing microservices-based architectures and distributed applications.
• Exposure to AI tools and platforms such as GitHub Copilot, AI Agents, and Generative AI solutions for software engineering and testing activities.
• Experience delivering in Agile/Scrum environments with a solid understanding of SDLC and STLC processes.
• Good understanding of CI/CD pipelines and quality engineering practices.
• Strong analytical, problem-solving, and debugging capabilities.
• Excellent verbal and written communication skills, with the ability to clearly explain technical concepts and testing strategies.

• Engineering graduate with 4 years of experience.
• Knowledge of application security concepts including authentication, authorization, confidentiality, integrity, encryption, and secure communication protocols is preferred.
• Ability to work independently, handle multiple priorities, and contribute effectively in a fast-paced environment.
• Passion for continuous learning, innovation, automation, and adopting AI-enabled engineering practices.
• Payment domain knowledge is preferred.

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