Java Backend Developer

Location: Ridgefield Park, NJ

Salary: $44.00 USD Hourly - $48.00 USD Hourly

Description: Our client is currently seeking a Java Backend Developer

Work Location: Ridgefield Park, NJ 07660

Contract Period: 4 weeks with possibility of extension

Role Summary

The Java Backend Developer will design and implement core backend enhancements for the Enhancement Project.

Key Responsibilities

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

Required Qualifications

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/RabbitMQ), JPA/Hibernate, Docker, Kubernetes, CI/CD Pipelines (Jenkins/GitLab CI/GitHub Actions)

Application Server Expertise:

Oracle WebLogic 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.

PostgreSQL: Query Optimization, pg_stat_statements, Partitioning, Replication, pgAdmin.

Other Databases: MySQL, MongoDB, 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

Preferred Qualifications

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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