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Tier-1 brand, metro location, and a popular mid-level generalist backend title increase applicant competition.
Strong backend Java skillset is broadly transferable across industries.
Explicit 3+ years plus mandatory Java/Kafka/Spring and testing/CI/CD skills create strict shortlisting filters.
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Designs, develops, and troubleshoots secure, scalable software solutions across multiple technical areas in support of business objectives.
Produces architecture and design artifacts, ensuring design constraints are met by software code development and maintains production-quality algorithms.
Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity, validating outputs through peer review and automated testing.
3+ years of applied experience in software engineering with formal training or certification.
Proficient with Core Java (Java 8+), multi-threading, microservices, Java design patterns, Spring Frameworks, Apache Camel, Kafka, IBM MQ, RESTful HTTP, Oracle/MySQL databases, and testing frameworks like JUnit and Mockito.
Experience in system design, development, testing, operational stability, and agile methodologies including CI/CD and security.
Hands-on experience with enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in engineering workflows.
Experienced in large corporate environments developing and maintaining complex software systems using Java and related technologies.
Ability to critically evaluate and validate AI-generated code outputs, guiding safe and effective AI tool use within teams.
Familiarity or interest in Agile Scrum practices; knowledge of banking payments domain, cloud technologies (AWS/Private Cloud), and containerization (Docker/Kubernetes) is a plus.