Description : About the Role :
We are seeking a highly experienced MuleSoft Integration Engineer to join our distributed engineering team. This is a remote position focused on designing, developing, and maintaining robust, scalable, and high-performance integrations using the MuleSoft Anypoint Platform.
You will play a key role in integrating enterprise systems and cloud platforms using Mule ESB, REST / SOAP APIs, and Confluent Kafka, and deploying integration solutions that align with business and technical requirements. If you are passionate about API-led connectivity and cloud-native architectures, this role is for you.
Key Responsibilities :
- Design, develop, and deploy integration solutions using MuleSoft Anypoint Platform, including Mule ESB, API Gateway, and connectors.
- Build scalable and reusable APIs and services to connect cloud and on-premise applications.
- Implement real-time and batch integration flows using Confluent Kafka, REST APIs, SOAP services, and other protocols.
- Deploy and manage integrations in cloud-native environments including AWS.
- Optimize performance and monitor production integrations, ensuring minimal downtime and quick issue resolution.
- Use CI / CD tools (e.g., Tekton, Kubernetes, Jenkins) for automating build, test, and deployment processes.
- Write and maintain technical documentation, integration specifications, and mapping documents.
- Collaborate with cross-functional teams (DevOps, QA, Backend, Business Analysts) to gather requirements and deliver integration solutions.
- Follow Agile / Scrum methodologies and participate in sprint planning, retrospectives, and daily stand-ups.
- Maintain strong awareness of integration trends and best practices, proactively identifying areas for improvement.
Mandatory Skills & Experience :
7+ years of overall experience in software development, with a focus on enterprise integration projects.5+ years of hands-on experience with MuleSoft, particularly Mule 4, including :
Building APIs and integrations using Mule ESBDesigning and developing applications on Anypoint PlatformImplementing RAML-based APIs and flowsStrong proficiency in Confluent Kafka for message streaming and data pipeline integration.Deep understanding of RESTful and SOAP-based services, and experience with API security, throttling, versioning, and governance.Experience deploying solutions in AWS, including setting up Confluent Kafka on cloud environments.Solid knowledge of integration patterns, such as pub-sub, request-response, scatter-gather, and event-driven architecture.Proficient with CI / CD tools and pipelines, particularly tools like Tekton, Kubernetes, Docker, Git, and Maven.Strong skills in debugging, logging, error handling, and performance tuning in large-scale integration applications.Comfortable working in Agile / Scrum environments, using tools like JIRA, Confluence, or Azure DevOps.(ref : hirist.tech)