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Tier-1 brand, generalist backend role, mid-level experience, metro location increase candidate competition.
Core backend engineering skills transfer across industries, but banking domain and enterprise tool requirements increase specificity.
Technical skills (Java, Spring Boot, AWS) and enterprise-AI tool use required, but no explicit years filter.
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Design, develop, and troubleshoot multiple software components with consideration of upstream and downstream system impacts.
Write secure, high-quality code using one or more programming languages, leveraging enterprise-authorized AI coding assist tools to improve code quality, speed, and productivity, validated through peer review and testing.
Apply knowledge of Software Development Life Cycle tools and automation capabilities to enhance development efficiency and operational stability.
Hands-on experience in system design, application development, testing, and maintaining operational stability.
Experience developing and debugging code using one or more modern programming and database querying languages in a large corporate environment.
Proven use of enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI-generated outputs.
Work Experience Required: Not explicitly mentioned in the JD.
Emerging software engineer with practical knowledge of secure, stable software applications in an agile environment using CI/CD and resiliency/security practices.
Familiarity with AI-assisted development workflows including responsible AI use, data sensitivity, and secure handling of inputs/outputs.
Interest or exposure in cloud technologies, modern front-end frameworks, or advanced technical disciplines such as AI or machine learning.