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High brand, generalist software engineer title, mid-level experience, and metro location increase applicant competition.
Core backend skills transferable, but banking security and ADLC specifics increase domain specificity.
Explicit 3+ years requirement plus mandatory secure coding and AI-assisted tooling makes filters strict.
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Designs, develops, and troubleshoots software solutions focusing on secure, stable, and scalable production-grade code.
Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and automation across the Software Development Life Cycle (ADLC).
Produces architecture and design artifacts ensuring design constraints and system resilience, while analyzing data to identify and address hidden problems for continuous system improvement.
Formal training or certification in software engineering with 3+ years applied experience.
Proven experience in system design, application development, testing, and operational stability in a large corporate environment.
Hands-on experience with modern programming languages, database querying, and enterprise-authorized AI-assisted development tools including critical evaluation and validation of AI outputs.
Knowledge of Software Development Life Cycle with emphasis on ADLC and agile methodologies including CI/CD, application resiliency, and security.
Experienced engineer comfortable applying and improving AI-assisted coding tools within team environments, with ability to guide peers on responsible AI-related practices.
Strong background in agile software development with operational ownership of secure and resilient application architectures.
Possesses practical skills in analyzing complex data sets to proactively detect system issues and improve software quality and stability.