Job Description

Design, develop, and maintain robust integrations and APIs to support business-critical applications and data flows

Collaborate with solution architects, business analysts, and application teams to gather requirements and translate them into scalable integration solutions
Troubleshoot and resolve issues in development, test, and production environments, ensuring high availability and reliability
Build and maintain integration infrastructure, leveraging best practices for security and scalability
Contribute to the continuous improvement of integration standards, patterns, and documentation across the organization
Participate in code reviews, knowledge sharing on integration best practices
Stay current with product enhancements and industry trends in integration and API management
Promote responsible integration practices, including proper data handling, risk management, and adherence to compliance and security standards

Requirements

Experience in software engineering or integration development focused on enterprise integration development , with extensive hands-on experience with any enterprise integration platform, including API design, development, and deployment across multiple environments
Proficiency in one or more programming or scripting languages such as Java, JavaScript, Python, or Groovy, along with strong object-oriented programming concepts and data transformation skills alongside experience in developing, consuming, and troubleshooting RESTful and SOAP-based web services and APIs
Solid understanding of enterprise integration patterns, microservices architecture, event-driven systems, and API-led connectivity principles
Experience integrating enterprise platforms using connectors, APIs, and event-driven patterns in complex enterprise environments
Experience with cloud-based platforms and services such as AWS, Azure, or Google Cloud Platform, including cloud-native integration capabilities
Familiarity with DevOps practices, CI/CD pipelines, and tools such as Maven, Jenkins, GitHub Actions, or equivalent build and deployment automation tools.
Ability to optimize integration flows and APIs for scalability, performance, reliability, and security across enterprise-grade environments.
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline