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Tier-1 bank, metro location, mid-level generalist backend title and broad stack make applicant competition high.
Strong transferable backend engineering skills, though financial domain preferred.
Explicit 3+ years and mandatory Java, Kafka, Spring, Hibernate, Oracle, and secure AI-tool experience increases strictness.
Design, develop, and maintain secure, high-quality backend software solutions using Core Java and related technologies with a focus on scalability and system stability.
Leverage enterprise-authorized AI-assisted tools to enhance code quality, delivery speed, and team productivity while ensuring secure and tested outputs.
Provide level 3 developer support on a rotational 24x7 basis and proactively identify system and code improvement opportunities based on data insights.
3+ years of applied software engineering experience with formal training or certification.
Strong hands-on expertise in Core Java (17+), Spring Framework, Kafka, Hibernate, JSON, RESTful services, Kubernetes, JMS, and Oracle SQL.
Experience with enterprise-authorized AI-assisted software development tools and ability to validate AI-generated outputs for correctness and security.
Experience with UNIX, CI/CD tools (e.g., Jenkins, Maven), testing frameworks (e.g., JUnit, Cucumber), and understanding of SDLC and agile methodologies.
Experienced in developing complex backend solutions within large corporate or financial environments using Java and Kafka.
Proficient in using AI coding assist tools critically and integrating automated and secure coding practices within agile/CI-CD workflows.
Capable of architecting and designing systems with focus on resiliency, security, and operational support in 24x7 production environments.