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Tier-1 employer, common mid-level frontend title, and likely metro location increase applicant competition.
Frontend skills transfer broadly but heavy AI/data and enterprise banking expectations require domain-specific experience.
Explicit 3+ years plus broad mandatory tech and AI/data requirements make hiring filters highly stringent.
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Design, develop, and troubleshoot software solutions across multiple technical areas supporting firm business objectives.
Create secure, high-quality production code and maintain complex application architecture and design artifacts.
Utilize enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity while ensuring secure coding standards.
3+ years of applied software engineering experience with formal training or certification.
Proficient in coding in one or more modern programming languages and database querying languages.
Experience with system design, application development, testing, and operational stability in a large corporate environment.
Knowledge of Software Development Life Cycle and agile methodologies including CI/CD, security, and application resiliency.
Strong hands-on expertise in Python, data backbones such as Airflow and Spark, core database concepts (relational and document), cloud technologies, and AI/ML technologies including Gen AI/LLMs and Agentic AI.
Experience in using and critically evaluating enterprise-authorized AI-assisted software development tools within workflows.
Ability to guide team members on responsible AI use, including data sensitivity, secure handling, and adherence to resiliency and security standards.