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Tier-1 employer, Bangalore metro, mid-level generalist backend role, and popular Java microservices skillset.
Core Java microservices skills transfer across industries, though finance domain knowledge is moderately preferred.
Explicit 3+ years requirement plus mandatory Java, Spring Boot, microservices, cloud basics, and enterprise AI tool experience.
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Design, develop, and deliver secure, scalable Java-based software solutions using Spring Boot and microservices within an agile team.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, speed, and productivity, validating outputs through peer review and automated testing.
Produce architecture and design artifacts, analyze diverse data sets to identify hidden problems, and drive improvements in code hygiene and system architecture.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience with Java, Spring Boot, microservices, and basic cloud technologies.
Experience using enterprise-authorized AI-assisted software development tools and ability to validate AI-generated outputs for correctness, performance, and security.
Knowledge of Software Development Life Cycle and agile methodologies including CI/CD, application resiliency, and security practices.
Experienced in operating within large corporate software development environments and agile teams with end-to-end ownership from design to deployment.
Skilled in applying AI-assisted coding tools responsibly with awareness of data sensitivity, security, and resiliency in engineering workflows.
Capable of translating complex technical requirements into secure, maintainable code and system architecture improvements using cloud and microservices technologies.