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Tier-1 brand, mid-level generalist backend role in metro with broad skillset increases applicant competition.
Core backend skills are transferable, but banking domain and AI-tool expectations increase specificity.
Explicit 3+ years, required Python proficiency and corporate/regulatory expectations raise filter strictness.
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Design, develop, and troubleshoot secure, scalable software solutions within an agile team environment for multiple business functions.
Produce architecture and design artifacts ensuring software meets design constraints and quality standards.
Leverage AI-assisted development tools to enhance code quality, delivery speed, and system improvements through data analysis and problem identification.
3+ years of applied software engineering experience with formal training or certification.
Proficient in Python and experience with one or more modern programming and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate AI outputs.
Understanding of Software Development Life Cycle (SDLC), agile methodologies (CI/CD, resiliency, security), and responsible AI use in engineering workflows.
Experienced in system design, application development, testing, and maintaining operational stability in large corporate environments.
Skilled at integrating AI-assisted coding tools critically and securely within development workflows.
Familiar with data engineering practices supporting AI model training and deployment, with exposure to machine learning libraries and cloud technologies (e.g., AWS).