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.
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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