Java BackEnd Developer

Overview

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

All your information will be kept confidential according to EEO guidelines.

*** NO C2C ***

$85,000-$85,000 per year