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High competition due to Tier-1 brand, mid-level generalist title, and metro location.
Medium because automation skills transfer across industries but banking-specific security and AI compliance matter.
High due to explicit 3+ years and mandatory automation tools and testing frameworks.
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Designs, develops, troubleshoots, and delivers secure, stable, and scalable software solutions for Commercial & Investment Bank Payments Technology.
Produces architecture and design artifacts for complex applications ensuring design constraints are met and improves software through data-driven insights and AI-assisted practices.
Leads adoption of AI-assisted engineering tools to improve code quality, delivery speed, and operational outcomes including validation standards and automation frameworks.
3+ years applied experience with formal training or certification in software engineering concepts.
Hands-on experience in system design, application development, testing, operational stability, and automation using Cucumber, Cypress, Selenium.
Experience with Test-Driven Development, manual testing, database Oracle, and test automation frameworks.
Demonstrated experience leading use of AI-assisted software development tools with strong understanding of responsible AI practices in engineering workflows.
Experienced software engineer comfortable working in agile environments within financial technology domains, specifically in payments or related banking technology.
Proficient in automation frameworks and AI-assisted engineering tools with capability to lead team adoption and establish coding and testing standards.
Has knowledge or exposure to trade domain, cloud technologies, and modern front-end technologies is advantageous but not mandatory.