Software Engineer

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

• 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

• Medical, Personal Accident, Life Insurance and Time Off