Design and develop Spring Batch applications for large-scale data and transaction processing
Build and optimize batch jobs for high-volume processing and reconciliation workflows
Develop ETL and data transformation pipelines integrated with core banking and enterprise systems
Transform business and technical requirements into robust, scalable functionalities
Ensure alignment of solutions with architectural standards and client requirements
Implement integrations with, core banking systems, external payment networks (e.g., SWIFT, DIAS), databases and file-based interfaces, internal enterprise services and reporting platforms.
Implement and maintain scheduling, monitoring, restartability, and fault-tolerant mechanisms
Participate in the modernization of legacy batch systems into modular, scalable architectures
Collaborate closely with architects, analysts, DevOps, and integration teams
Support deployment processes and configuration management activities
Contribute to performance optimization and troubleshooting of batch execution flows

3–5 years of experience in Java development
Strong expertise in Spring Boot and Spring Batch
Solid understanding of batch processing concepts, transaction management, error handling, and restart/recovery mechanisms
Experience with performance optimization for high-volume processing
Proficiency in SQL and relational databases (Oracle/PostgreSQL)
Hands-on experience with file processing (CSV, XML, fixed-width formats)
Familiarity with microservices architecture, REST APIs, and integration patterns
Understanding of distributed systems and data consistency
Experience with scheduling tools (e.g., Control-M)
Familiarity with Git, CI/CD pipelines, and container platforms (OpenShift/Kubernetes)
Exposure to event-driven architectures (Kafka is a plus)
Ability to analyze, debug, and enhance existing codebases independently Nice to have:
Experience with AI-assisted development tools

Software Engineer, Java, Spring Batch

Key skills