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Tier-1 brand, mid-level generalist backend role, metro location, and broad skill requirements increase competition.
Java/Python backend skills transfer well, but banking security and AI governance moderately constrain fit.
Mandatory 3+ years, enterprise development experience, AI-tool competency and security expectations make filters strict.
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Execute design, development, and troubleshooting of software solutions focusing on high-quality, secure production code and maintenance of synchronous algorithms.
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, including code generation, refactoring, unit test creation, and documentation while validating outputs.
Produce architecture and design artifacts for complex applications ensuring code meets design constraints and continuously improve software through data analysis and pattern identification.
Formal training or certification in software engineering plus 3+ years of applied experience.
Practical experience in system design, application development, testing, and operational stability.
Experience developing and maintaining code using modern programming languages and database querying languages in a large corporate environment.
Hands-on experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use including data sensitivity, security, and resiliency.
Experienced in operating within Agile methodologies including CI/CD, application resiliency, and security contexts.
Skilled at applying software development life cycle knowledge, specifically ADLC, integrating automation and AI tools effectively into workflows.
Familiarity with data engineering for AI model training and deployment and exposure to cloud technologies such as AWS is advantageous.