Develop, enhance, and maintain backend services and APIs using Java 21, Spring Framework 5/6, and Spring Boot 3/4, following industry best practices.
Design, implement, and document RESTful APIs, ensuring reliable integration with downstream and upstream systems.
Build and maintain event-driven and streaming solutions using Apache Kafka, including Kafka Streams for real-time data processing and Kafka Connect for system integration.
Ensure service interoperability and standardization by implementing TMF Forum OpenAPI specifications for service, data, and process modeling.
Work extensively with containerized applications, leveraging Docker and deploying to OpenShift platforms in cloud-native environments.
Design, develop, and optimize database schemas and queries using PostgreSQL, including performance tuning and index optimization.
Deploy and manage applications in Google Cloud Platform (GCP), utilizing Cloud SQL and aligning with cloud security and resilience best practices.
Apply Secure Software Development Lifecycle (SSDLC) practices to produce clean, maintainable, scalable, and secure code.
Implement automated testing strategies, including unit tests, integration tests, and service-level testing, to ensure reliability and quality of deliverables.
Participate actively in Agile delivery practices, including sprint planning, daily stand-ups, backlog refinement, reviews, and retrospectives.
Troubleshoot, diagnose, and optimize application and platform performance, including messaging throughput, database performance, and resource utilization.
Monitor and support application observability and operational health, using tools such as ElasticSearch, Grafana, Dynatrace, and platform-native monitoring solutions.
Collaborate closely with cross-functional teams, including architecture, QA, platform, and operations, to ensure successful end-to-end service delivery.
COMPETENCIES
Core Competencies (Must-have)
Java & Spring-Based Service Development (5+ years): Strong experience building, validating, and maintaining enterprise backend services and RESTful APIs.
EventDriven Architecture & Messaging (5+ years): Proven ability to design, test, and troubleshoot real-time event processing, message reliability, and integration workflows using Apache Kafka and Kafka Streams.
Microservices & Containerization (5+ years): Hands-on experience with containerized service deployment using Docker, OpenShift, and Kafka.
Database Expertise (5+ years): Experience with Oracle PL/SQL, PostgreSQL, and NoSQL, including data validation, performance tuning, and database behavior across integrated services.
TMF Forum Standards (5+ years): Ensure compliance with TMF OpenAPI standards for service, data, and process modeling in telecom ecosystems.
Complementary Competencies (Good-to-have)
CI/CD & Test Automation
Experience with Jenkins and GitLab CI to automate build, test, and deployment pipelines for backend services.
Ability to integrate service-level and integration tests into CI/CD workflows to ensure early defect detection.
Observability & Service Monitoring
Hands-on experience with ElasticSearch, Grafana, and Dynatrace (or equivalents) to monitor service health.
Ability to use logs, metrics, and traces to validate service behavior, support root-cause analysis, and improve reliability.
Event Streaming & Messaging (Kafka)
Advanced experience with Apache Kafka, including topic design, producers/consumers, and event flow validation.
Exposure to Kafka Streams and Kafka Connect for real-time processing and system integration.
Cloud & Platform Awareness
Working knowledge of Google Cloud Platform (GCP), including managed services such as Cloud SQL.
General understanding of AWS or Azure concepts and cloud-native service deployment models.
Service Testing & API Validation
Strong experience with JUnit and service-level testing frameworks for unit, integration, and contract testing.
Proficiency with Swagger / OpenAPI for API documentation, validation, and standards compliance (including TMF OpenAPI).
Containerization & Deployment Platforms
Experience deploying and validating services using Docker and OpenShift.
Foundational understanding of Kubernetes concepts as they relate to service scalability, resiliency, and testing.
Qualifications
Educational Qualification(s)
University degree in Computer Science, Software Engineering, or other relevant discipline, or an equivalent combination of education and experience.
Work Condition(s)
Work Schedule: Mid Shift (4:00 PM 1:00 AM Manila time)
