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About
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. Job Description
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. 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 All your information will be kept confidential according to EEO guidelines.
Languages
- English
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