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Zensar

Zensar

Digital transformation services

JAVA Backend - Scala

Full-TimeUpdated on 9/21/2026
No salary listed
Mid, Senior
India
In Person

About the job

Requirements
  • Three to seven years of backend software development experience, with mid-level candidates having three to five years and senior candidates having five to seven years.
  • Strong Java and Spring Boot skills are required.
  • Scala experience with Akka and Play is required.
  • Production experience with Kafka or equivalent messaging systems such as RabbitMQ or ActiveMQ is required.
  • Hands-on Apache Spark experience for batch or streaming data processing is required.
  • Working knowledge of Docker and Kubernetes deployments is required.
Responsibilities
  • Develop, test, and deploy Java and Scala microservices for supply chain finance modules covering invoice ingestion, deal configuration, funder allocation, settlement, and dynamic discounting.
  • Build and maintain Spark batch and streaming jobs for invoice reconciliation, portfolio analytics, and financial reporting.
  • Design and implement Kafka-based event pipelines for real-time invoice processing and multi-funder allocation.
  • Integrate bank payment gateways and enterprise resource planning connectors through Talend and REST APIs using idempotent, auditable flows.
  • Write Jasper Reports templates for funder statements, utilisation reports, and regulatory disclosures.
  • Participate in code reviews, sprint ceremonies, and technical design discussions while maintaining unit test coverage of at least 80%.
  • Maintain Kubernetes manifests and troubleshoot production issues using Elasticsearch and Prometheus/Grafana.
Desired Qualifications
  • Experience in financial services, payments, or trade finance is preferred.
  • Experience with Groovy, Gradle, Spock, Talend ETL, Jasper Reports, or Python for data scripting is desirable.

About the company

Zensar is a global technology services company focused on enterprise digital transformation. The company provides application modernization, artificial intelligence, cloud, cybersecurity, data, engineering, experience, and managed services. It serves enterprises, public organizations, technology leaders, and business teams across multiple industries. Its operating model centers on consulting and delivery teams organized around client programs, industry practices, technology partnerships, and global operations. Teams work across software, cloud, AI, data, cybersecurity, consulting, quality engineering, and client delivery. This structure supports consistent delivery across the organization.

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