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

Additional Information

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