We are looking for a Senior Java Engineer to join our team building IBM webMethods Hybrid Integration, a leading SaaS-based integration platform recognized as a Leader in the Forrester Wave™ for iPaaS.
This product enables enterprises to seamlessly connect APIs, applications, events, messaging, files, and B2B transactions across hybrid and multi-cloud environments.
As part of our engineering team, you will design and develop high-performance, scalable components using Java and Spring, while leveraging AI-driven capabilities to enhance automation and productivity.
- Design, develop, and maintain enterprise-grade integration components for IBM webMethods Hybrid Integration.
- Implement robust, scalable solutions using Java, Spring Framework, and related technologies.
- Collaborate with product architects to integrate AI-powered features into the platform, including agentic AI and generative AI workflows.
- Work on API management, event-driven architectures, and hybrid integration patterns.
- Optimize performance and reliability for SaaS deployments across multi-cloud environments.
- Ensure compliance with security, governance, and data sovereignty requirements.
- Mentor junior engineers and contribute to best practices in coding, testing, and deployment.
- 7–10 years of professional experience in Java development.
- Strong expertise in Spring Framework, Spring Boot, and microservices architecture.
- 2+ years of hands-on experience in AI projects, such as:
- Integrating AI services (e.g., LLMs, agentic AI, generative AI).
- Building AI-driven automation or predictive analytics features.
- Experience with API lifecycle management, RESTful services, and event-driven systems.
- Familiarity with cloud-native development and hybrid integration patterns.
- Solid understanding of data security, compliance, and governance in SaaS environments.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
- Expertise in building SaaS products from scratch, including architecture and scalability considerations.
- Proven track record of AI innovations in enterprise-grade software.
- Exposure to IBM webMethods or similar integration platforms.
- Understanding of AI ethics and responsible AI practices.