Data Migration Engineer

1 week ago


Dallas, United States Photon Full time

Role Overview:

We are seeking skilled engineers to lead the migration of IBM DataPower configurations and integrations (MQ connections and SOAP services) to a modern Spring Boot-based microservices architecture. The ideal candidate will have deep expertise in Spring Boot, the Spring ecosystem for microservices, cloud-native design principles, Kafka, and API development, ensuring seamless transitions and scalable, high-performance solutions.

Key Responsibilities:

  1. Migration Design and Planning
  2. Analyze existing IBM DataPower configurations, including XML firewall scripts, MQ configurations, and SOAP services.
  3. Design a migration strategy to transition DataPower-based solutions to Spring Boot microservices, ensuring feature parity and optimal performance.
  4. Collaborate with architects to design robust and scalable API and microservice solutions using the Spring framework.
  5. Microservice API Development
  6. Build RESTful APIs with Spring Boot to replace SOAP services, ensuring backward compatibility and efficiency.
  7. Leverage Spring WebFlux or Spring MVC for high-performance and scalable API design.
  8. Create secure APIs using Spring Security with OAuth2 and JWT for authentication and authorization.
  9. Cloud-Native Microservices Development
  10. Utilize Spring Cloud components (e.g., Eureka, Config Server, Circuit Breaker, and Gateway) to implement distributed system patterns for microservices.
  11. Develop fault-tolerant and resilient microservices with load balancing, service discovery, and centralized configuration.
  12. Design stateless microservices that integrate seamlessly with cloud platforms and support horizontal scalability.
  13. Kafka Integration and Event-Driven Architecture
  14. Implement event-driven microservices using Apache Kafka, ensuring reliable asynchronous communication and real-time data streaming.
  15. Develop and manage Kafka producers, consumers, and topics to enable seamless data flow between microservices.
  16. Optimize Kafka configurations for high throughput, low latency, and fault tolerance.
  17. Implementation and Development
  18. Rewrite DataPower scripts (XSLT, GatewayScript, and XML configurations) into equivalent Spring Boot microservices.
  19. Integrate microservices with MQ messaging systems for reliable data exchange and processing.
  20. Use the Spring ecosystem to manage messaging, API interactions, and distributed service orchestration.
  21. Testing and Validation
  22. Develop unit, integration, and performance tests for APIs and microservices using tools like JUnit, Mockito, and Postman.
  23. Validate API behavior and microservice performance against legacy DataPower implementations.
  24. Troubleshoot and resolve issues identified during testing and deployment.
  25. Collaboration and Documentation
  26. Collaborate with DevOps and operations teams to ensure seamless deployment of microservices into staging and production environments.
  27. Work closely with architects, business analysts, and QA teams to align deliverables with business objectives.
  28. Document technical designs, API specifications, Kafka integration guidelines, and migration processes.
  29. Optimization and Performance Tuning
  30. Optimize microservices and APIs for scalability, reliability, and cloud readiness.
  31. Apply caching, connection pooling, and performance tuning strategies using Spring Boot tools and techniques.
  32. Ensure security best practices are adhered to, including encrypting data in transit and at rest.
  33. Support and Troubleshooting
  34. Provide technical support for migrated services during and after the transition.
  35. Address and resolve issues related to API functionality, Kafka messaging, MQ integration, and service performance.

Key Qualifications:

  • Technical Expertise:
  • Hands-on experience with IBM DataPower, including XSLT, GatewayScript, and XML configurations.
  • Proficiency in Spring Boot and the broader Spring ecosystem, including Spring Cloud, Spring Security, and Spring Data.
  • Strong knowledge of RESTful API development and integration, including OpenAPI (Swagger) documentation.
  • Expertise in Kafka, including setting up producers, consumers, and real-time streaming in a distributed system.
  • Experience with MQ messaging systems (e.g., IBM MQ), including configuration and troubleshooting.
  • Additional Skills:
  • Proficiency in microservices design patterns such as service discovery, circuit breakers, and centralized logging.
  • Experience with CI/CD pipelines to support continuous integration and deployment of Spring-based applications.
  • Strong understanding of performance optimization and scaling for distributed systems.
  • Preferred Skills:
  • Knowledge of tools for monitoring and observability (e.g., Prometheus, Grafana, ELK stack).
  • Familiarity with database integration using Spring Data JPA, Hibernate, and RDBMS/NoSQL systems.
  • Experience in migrating legacy SOAP-based systems to RESTful, event-driven architectures.
  • Soft Skills:
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in cross-functional teams and adapt to changing priorities.

Education and Experience:

  • Bachelor's degree in Computer Science, Engineering, or a related field.


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