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Tier-1 brand, metro location, and popular fullstack lead title increase candidate competition.
Requires in-depth financial services knowledge and responsible AI engineering experience, reducing cross-industry transferability.
Explicit 5+ years, multiple mandatory tech stacks, and finance domain expertise raise filtering strictness.
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Lead design, development, and delivery of secure, scalable Java fullstack software solutions within Consumer & Community Banking.
Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational stability across the team.
Lead evaluation of new technologies and external vendors to enhance system architecture and integration.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience in Java, AWS, Python, Pyspark, Spring Boot, ReactJS, and Javascript.
Proficiency with automation, continuous delivery (CI/CD), and enterprise AI-assisted software development tools.
Knowledge of financial services industry IT systems and cloud-native technologies.
Experienced in leading teams to adopt AI-assisted coding, testing, and troubleshooting practices with emphasis on security and responsible AI use.
Strong background in agile and site reliability engineering (SRE) methodologies applied to financial software systems.
Capable of evaluating and integrating emerging technologies and driving cross-team technical leadership in a large enterprise context.