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Tier-1 brand, metro location, and a mid-level SDET role create high applicant competition.
Payments domain expertise and financial services testing practices limit cross-industry transferability.
Explicit 3+ years requirement plus mandatory Cucumber/Selenium, Java, payments domain, and AI-tool experience.
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Designs, develops, and maintains secure, stable, and scalable software solutions across multiple technical areas supporting financial business objectives.
Produces architecture and design artifacts, ensures software design constraints are met, and troubleshoots complex problems beyond routine approaches.
Leverages AI-assisted development tools to improve code quality and delivery speed, and analyzes data to drive software and system improvements.
3+ years of applied software engineering experience with formal training or certification.
Practical experience in system design, application development, testing, and operational stability.
Proficiency in coding with experience troubleshooting and maintaining Cucumber/Gherkin, Java, Selenium or similar tools in Payments domain with knowledge of testing processes and BDD/TDD methodologies.
Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate AI outputs; understanding of SDLC and agile methodologies including CI/CD and security.
Experienced in software engineering within large corporate or financial services environments, especially Payment domain testing and delivery under high volume/pressured situations.
Capable of producing architecture-level designs and operating effectively within Agile and CI/CD frameworks.
Skilled at integrating AI-assisted development tools responsibly within engineering workflows and guiding peers on secure and effective usage.