Java Integration Engineer

Key Responsibilities:

• Integration Architecture Design:

  Design and implement robust integration architectures connecting trading systems, data sources, and business applications across the company.

• Middleware Implementation:

  Configure and extend middleware platforms to support complex integration patterns, message routing, and data transformation.

• API Management:

  Collaborate with Development teams to design, develop, and maintain RESTful APIs enabling secure and efficient communication between applications.

• Data Pipeline Creation:

  Build reliable data pipelines ensuring timely and accurate flow of trading information across the enterprise.

• System Connectivity:

  Establish and maintain connections with external systems, market data providers, and partner platforms using industry-standard protocols.

• Performance Optimization:

  Monitor and optimize integration points to minimize latency and maximize throughput for business-critical data flows.

• Error Handling and Resilience:

  Implement comprehensive error handling, retry mechanisms, and circuit breakers to ensure system resilience and data integrity.

• Integration Testing:

  Develop and execute testing strategies for integration components, including unit tests, integration tests, and performance tests.

• Documentation:

  Create and maintain technical documentation for integration solutions, including architecture diagrams, API specifications, and operational procedures.

• Troubleshooting:

  Investigate and resolve complex integration issues across systems, providing timely solutions to minimize business impact.

• Agile Practices:

  Work within an agile development methodology, participating in sprint planning, daily stand-ups, and retrospectives.

• Continuous Improvement:

  Identify opportunities to enhance integration patterns, reduce technical debt, and adopt emerging technologies and best practices.

Required Skills:

• Java Backend Expertise:

  Proficiency in Java development, including Spring Framework, Spring Boot, and JVM optimization techniques for high-performance applications.

• Integration Architecture:

  Deep understanding of enterprise integration patterns, microservices architecture, and event-driven design principles.

• Messaging Systems Knowledge:

  Advanced knowledge of Kafka architecture, configuration, and optimization, along with experience in other messaging systems like Tibco Enterprise Message Service.

• API Development:

  Strong capabilities in designing and implementing RESTful APIs and GraphQL services with a focus on security, performance, and usability.

• Database Management:

  Proficiency with relational databases (Oracle, PostgreSQL) and NoSQL solutions (MongoDB, Cassandra), including optimization of data access patterns.

• Performance Engineering:

  Ability to design, implement, and optimize high-throughput, low-latency integration solutions in mission-critical environments.

• Problem-Solving Skills:

  Exceptional analytical and troubleshooting abilities, particularly for complex integration issues across distributed systems.

• DevOps Practices:

  Understanding of CI/CD pipelines, including containerization and orchestration.

• Communication Skills:

  Excellent verbal and written communication with the ability to translate complex technical concepts to both technical and non-technical stakeholders.

• Collaboration:

  Ability to work effectively with cross-functional teams, including business analysts, application developers, and infrastructure specialists.

• Cloud Technologies:

  Proficiency with cloud-native integration services and patterns across major platforms (AWS, Azure, GCP), including managed Kafka services, serverless functions, and API gateways for hybrid cloud architectures.

• AI Engineering:

  Basic understanding and interest in integrating AI models into data pipelines and applications.

• Adaptability:

  Willingness to learn new technologies and approaches to solve evolving integration challenges in a dynamic trading environment.