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Tier-1 brand, popular Software Engineer title, and mid-level experience increases candidate competition.
Core backend engineering skills transfer broadly, though banking security and enterprise AI tooling favor finance experience.
Mandatory 3+ years and specific enterprise development and security expectations enforce moderate candidate filtering.
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Design, develop, and troubleshoot software components within agile teams, ensuring secure, stable, and scalable solutions.
Leverage enterprise-authorized AI-assisted coding tools to improve code quality, delivery speed, and productivity while validating outputs through peer review and automated testing.
Produce architecture and design artifacts for complex applications, ensuring compliance with design constraints and driving improvements based on data analysis.
3+ years of applied experience in software engineering with formal training or certification.
Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment.
Experience using enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI-generated outputs for correctness, performance, and security.
Knowledge of Software Development Life Cycle (SDLC) and agile methodologies such as CI/CD, application resiliency, and security.
Experienced in modern programming and database querying languages within large corporate or enterprise environments.
Skilled in applying AI-assisted development tools responsibly, including understanding data sensitivity and security implications.
Comfortable working in agile teams producing secure, resilient software and capable of producing architecture/design documentation and data-driven improvements.