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Tier-1 employer, popular mid-level software engineer title, and broad full-stack/backend skill requirements.
Requires financial-services domain knowledge and specific banking practices, limiting cross-industry transferability.
Explicit 5+ years plus mandatory Java, Spring Boot, microservices, Kafka, databases, and cloud experience.
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Lead design, development, and troubleshooting of secure, high-quality Java & React software within Consumer & Community Banking.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Evaluate technical vendors and solutions, apply automation and SDLC tools to optimize operational stability and software delivery.
5+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in Java (Spring Boot/Cloud) and React; hands-on Kafka and event-driven architecture experience.
Strong expertise in SQL, RDBMS, NoSQL (e.g., Cassandra), and modern SDLC practices including CI/CD, automation, resiliency, and security.
Experience with AWS, Jenkins, Bitbucket, Jira, Agile, DevOps/SRE, Cloud Foundry, and enterprise AI-assisted development tools.
Proven leader in integrating AI-assisted software development tools responsibly within engineering teams, ensuring validation of AI outputs for security and performance.
Experience owning end-to-end technical components in complex, large-scale financial services environments.
Skilled in driving adoption of automation and secure coding standards to enhance team delivery and operational stability.