Back
Tier-1 brand, mid-level generalist title, metro hiring, and broad skillset requirements increase competition.
Core fullstack and cloud skills are transferable, though finance domain and responsible-AI expectations add specificity.
Explicit 5+ years, mandatory Java/Spring/React, cloud, Kafka, and AI/responsible-AI experience raise strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and maintenance of scalable full stack applications including Java/Spring Boot backend services and React/Angular UIs.
Drive adoption of enterprise AI-assisted engineering tools and practices to enhance code quality, delivery speed, and operational outcomes.
Collaborate with cross-functional teams to refine requirements and deliver software using Agile practices, supporting production, CI/CD, and platform evolution.
5+ years of professional software engineering experience with full stack development expertise (Java, Spring Boot, React/Angular).
Proven experience leading AI-assisted software development tools usage and establishing code validation standards.
Hands-on experience with CI/CD pipelines, Agile methodologies, DevOps practices, cloud platforms (AWS or Cloud Foundry), and databases (Oracle, Cassandra/MongoDB).
Work Experience Required: 5+ years
Experienced in integrating AI tools responsibly within software development workflows, including coaching teams on secure and compliant AI use.
Strong backend and frontend development skills with a focus on performance, reliability, and secure API design.
Comfortable working in Agile teams delivering complex, customer-facing financial technology solutions, and contributing to operational readiness and production support.