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Tier-1 brand, metro location, mid-level generalist title, and broad fullstack skillset increase candidate competition.
Strong transferable software engineering skills required, but financial-services domain knowledge preference reduces cross-industry fit.
Explicit 5+ years and multiple mandatory Java, React, microservices, Kafka, and cloud requirements increase selectivity.
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Lead design, development, and troubleshooting of secure, high-quality Java and React software solutions in a financial services context.
Drive adoption of enterprise-authorized AI-assisted engineering tools and practices to improve code quality, delivery speed, and operational stability.
Lead evaluation of external and internal technological solutions and own software components end-to-end with collaboration across large teams.
5+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in Java, microservices (Spring Boot/Spring Cloud), and React UI development.
Hands-on experience with Kafka, event-driven/distributed systems, SQL, RDBMS, NoSQL (e.g., Cassandra), and data modeling fundamentals.
Experience with CI/CD, automation, resiliency, security, and tools/platforms including AWS, Jenkins, Bitbucket, Jira, Agile, DevOps/SRE, and Cloud Foundry.
Demonstrated leadership in integrating AI-assisted software development tools with responsibility for validation of outputs for correctness, security, and performance.
Strong knowledge of responsible AI use in engineering workflows, including data sensitivity and secure handling within delivery practices.
Experience owning end-to-end software components in large teams within the financial services domain.