Java Backend Developer

Overview

Location: Ridgefield Park, NJ

Salary: $40.00 USD Hourly – $45.00 USD Hourly

Description: Our client is currently seeking a Java Backend Developer

Work Location :
Ridgefield Park, NJ

Contract Period: 4 weeks

Role Summary The Java Backend Developer will design and implement core backend enhancements for the BYOD Enhancement Project, enabling BYOD(Bring Your Own Device) to operate as a highly available primary service with resilient fallback to WMP and Global BYOD APIs.

• Design and implement a local BYOD database with indexing, data freshness tracking, and retention policies
• Develop hybrid query logic: primary local DB lookup with configurable fallback to WMP API and Global BYOD API
• Implement SFTP-based batch ingestion (CSV sync, validation, reconciliation, error handling)
• Enhance backend services including data schema, scheduling framework, and API endpoints
• Implement monitoring, logging, metrics, and alerting for availability, performance, and API usage
• Ensure fault-tolerant design and seamless fallback between BYOD, WMP, and Global APIs

• 5 years of Java backend development experience
• Strong experience with RESTful APIs, database design (RDBMS), and batch processing
• Experienced Java Developer with the following areas
  :
  Must Have:
  Core Java (8 /11 /17 ), Spring Boot, Spring Cloud, Spring MVC, Spring Security, RESTful API Design, Microservices Architecture, Message Brokers (Kafka/Rabbit
  
  MQ), JPA/Hibernate, Docker, Kubernetes, CI/CD Pipelines (Jenkins/Git Lab CI/Git Hub Actions)
• Application Server Expertise
  :
  Oracle Web Logic Server:
  Deployment, configuration, clustering, and administration.
• Apache Tomcat:
  Setup, deployment, tuning, and management.
• Application server troubleshooting and performance optimization
• Linux Server Deployment & Administration
  :
  Linux server setup, configuration, and management (RHEL, CentOS, Ubuntu).
• Shell scripting and automation.
• Application deployment and release management on Linux environments.
• Server monitoring, log analysis, and troubleshooting
• Strong expertise in database technologies
  :
  Oracle Database: PL/SQL, Oracle Performance Tuning, Oracle RAC, Partitioning, Indexing Strategies, AWR/ASH Reports, Execution Plan Analysis.
• Postgre
  
  SQL:
  Query Optimization, _statements, Partitioning, Replication, pg Admin.
• Other Databases:
  MySQL, Mongo
  
  DB, SQL Server, Redis, Cassandra.
• Batch Processing & Scheduling
  :
  Spring Batch, Quartz Scheduler, Apache Airflow.
• ETL processes and data pipeline development.
• Cron jobs, scheduled tasks, and job orchestration.
• Large-scale data processing and bulk operations
• Experience building high-availability, resilient backend services
• Hands-on experience with logging, monitoring, and performance tuning

• Experience with telecom/carrier integrations or large-scale device data systems
• Familiarity with cloud environments and distributed system design
• Experience handling external API dependency and fallback strategies

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