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Tier-1 brand, metro location, mid-level generalist backend role with broad skill requirements increases competition.
Requires in-depth financial services knowledge and responsible AI engineering, making industry-specific background highly relevant.
Explicit 5+ years requirement and mandatory Java/Spring/microservices/cloud/AI tooling implies high selection rigidity.
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Lead design, development, and integration of Java-based agent systems and Large Language Models (LLMs) within payment technology applications.
Drive adoption of enterprise-authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational stability.
Lead technical evaluations and communities of practice to influence architectural decisions and promote advanced engineering practices across teams.
5+ years of applied software engineering experience with formal training or certification.
Proficient in Java technologies including Spring Framework, RESTful APIs, and Microservices architecture.
Experience with database technologies (PostgreSQL, Oracle) and automation in continuous delivery processes.
Work Experience Required: 5+ years applied experience.
Experienced in cloud-native application development with practical knowledge of automation and CI/CD pipelines.
Proven ability to lead engineering teams in adopting AI-assisted software development tools while ensuring responsible and secure AI usage.
Strong domain knowledge of financial services IT systems and understanding of software resiliency and security practices.