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Tier-1 brand, metro location, generic Software Engineer title, and mid-level (3+ years) experience increase competition.
Core backend engineering skills transfer across industries, though banking domain familiarity moderately matters.
Explicit 3+ years plus mandatory Java, SDLC, and AI-assisted tooling increases shortlisting strictness.
Designs, develops, and troubleshoots secure, stable, and scalable software solutions within an agile Commercial & Investment Bank Payments Technology team.
Produces architecture and design artifacts ensuring software code meets design constraints and operational stability requirements.
Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity, including validating AI outputs rigorously.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment.
Experience with modern programming languages and database querying languages, and use of enterprise-authorized AI-assisted development tools with ability to validate AI outputs.
Knowledge of Software Development Life Cycle, agile methodologies (including CI/CD), application resiliency, and security practices.
Experienced in integrating AI-assisted coding tools responsibly within engineering workflows, with awareness of data sensitivity and secure handling.
Skilled in analyzing and visualizing large, diverse data sets to proactively identify system improvements and code quality enhancements.
Capable of producing architectural documents and driving adherence to design constraints and secure coding standards in complex application environments.