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Strong Tier-1 brand, metro location, popular engineering title, and broad skill requirements increase applicant competition.
Technical QA automation skills transfer across industries but banking context and enterprise tooling raise moderate domain sensitivity.
Explicit 7+ years, mandatory QA automation and enterprise AI-assisted tooling make shortlisting highly selective.
Design, develop, and troubleshoot secure, high-quality software solutions with a focus on scalable market-leading products.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and automate testing/documentation processes.
Produce architecture and design artifacts; analyze large data sets to identify improvements in coding hygiene and system architecture.
7+ years of applied software engineering experience with formal training or certification.
Proficiency in coding in one or more programming languages and experience in large corporate environments.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including validation of AI outputs for correctness, performance, and security.
Knowledge of Software Development Life Cycle and agile methodologies including CI/CD, application resiliency, and security.
Experienced in applying AI-assisted development tools responsibly within engineering workflows including data sensitivity and secure handling.
Familiar with software development across multiple technical domains such as cloud, AI, or machine learning.
Capable of delivering complex software system designs and proactively improving system architecture and code quality from data insights.