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Strong Tier-1 brand, mid-level backend role, metro location, and broad Java/AWS skillset increase applicant competition.
Backend Java and cloud skills are transferable, though finance AI/regulatory expectations add some domain specificity.
Explicit 6+ years requirement and mandatory Java, Spring Boot, and AWS expertise.
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Provide technical guidance and direction to business technical teams, contractors, and vendors within an agile environment.
Develop secure, high-quality production code; review and debug code; and drive adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Apply and promote use of approved AI-assisted development tools and Software Development Life Cycle automation to influence product design, application functionality, and technical operations.
6+ years of applied experience with formal training or certification in software engineering concepts.
Proficient in Java (OOPS, Collections, Streams, Lambdas, Exception handling) and strong knowledge of Spring Boot framework and REST API design.
Hands-on experience with AWS services including Step Functions, Lambda, S3, ECS/EKS, API Gateway; knowledge of AWS AI/ML and NLP services (Amazon SageMaker, Bedrock, Comprehend, Textract).
Experience leading use of enterprise-authorized AI-assisted software development tools and strong understanding of responsible AI use, security, and compliance in engineering workflows.
Experienced in applying AI-assisted engineering tools and governance within large-scale enterprise teams, influencing engineering workflows and code quality standards.
Proficient in cloud-native application development using Java, Spring Boot, and AWS cloud services with focus on cloud migration readiness.
Strong strategic understanding of responsible AI adoption, secure coding practices, and tools integration in an agile, high-velocity development environment.