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Tier-1 brand, generalist Software Engineer title, mid-level experience, and metro location increase competition.
Backend and LLM skills are broadly transferable, though enterprise banking experience adds moderate domain bias.
Explicit 3+ years plus mandatory Java/Spring/Kubernetes/Kafka and LLM requirements make filters stringent.
Design, develop, and maintain secure, high-quality Java-based microservices and APIs using Spring Boot and related frameworks.
Leverage AI-assisted development tools like Copilot or Claude Code to improve code quality, delivery speed, and automation within Agile SDLC.
Produce architecture and design artifacts for complex applications ensuring all design constraints and secure coding standards are met.
3+ years of formal training or applied experience in software engineering with hands-on system design, development, testing, and operational stability.
Advanced Java programming skills including OO design, concurrency, performance tuning, debugging, and experience with Spring Boot, REST APIs, Security, JPA, Apache Kafka, Elasticsearch, and unit/integration testing.
Experience using enterprise-authorized AI-assisted development tools (e.g., Copilot/Claude Code) for code generation, testing, and documentation with validation of AI outputs for security and accuracy.
Practical knowledge of SDLC, Kubernetes, agile methodologies (CI/CD, resiliency, security), and experience building AI/LLM-enabled workflows with understanding of responsible AI use and data sensitivity.
Experienced mid-level to senior Java developer comfortable with complex microservices development in large corporate or financial services environments.
Demonstrated ability to critically evaluate and integrate AI-assisted coding tools while maintaining security, correctness, and test coverage in production code.
Familiar with AI agents and LLM workflows including prompt engineering and safe data handling, with hands-on knowledge of container orchestration (Kubernetes) and modern cloud-native application patterns.