Sr. MuleSoft Developer; Senior Systems Integration Engineer​/Developer

Responsibilities

• Provide end-to-end integration design, development, testing, deployment, and production support using Mule Soft.
• Design and develop APIs and integration solutions using Mule 4.3+, Anypoint Studio, Anypoint Code Builder, Design Center, Exchange, and API Manager.
• Develop and execute MUnit test cases for Mule Soft applications and APIs.
• Perform complex data transformations using Data Weave and deploy Mule Soft applications to Cloud Hub.
• Provide production support, monitoring, troubleshooting, and issue resolution for on-premises and cloud-based applications.
• Implement Mule Soft best practices and advanced integration patterns for API design, development, testing, deployment, and support.
• Design and develop SOAP and RESTful web services and real-time APIs using Mule Soft.
• Configure and utilize Mule Soft connectors, including Workday and other enterprise application connectors, and develop custom connectors as needed.
• Develop and support integrations with Snowflake, Oracle databases, Azure services, and other enterprise data platforms.
• Develop queries and support data integration with Snowflake and Oracle databases.
• Build and maintain CI/CD pipelines for Mule Soft applications using tools such as Git, Maven, and Jenkins.
• Develop integrations for IoT and Digital Twin applications, including MQTT communication and real-time data exchange.
• Develop and support Kafka-based data streaming and event-driven integrations for real-time data processing.
• Support integrations involving AI solutions and automation of manual business processes using APIs and Mule Soft RPA.
• Utilize tools and technologies such as Log4j for logging and debugging, JUnit for Java-based unit/integration testing, XMLSpy for XML validation, and Linux for application and integration support.

• Hands-on experience with Mule 4.3+, Anypoint Studio, Anypoint Code Builder, Design Center, Exchange, API Manager, and Anypoint Platform.
• Advanced experience with API development, integration patterns, Data Weave transformations, Mule connectors, and development of custom connectors.
• Experience with MUnit for Mule Soft application and API testing.
• Experience developing Mule Soft Cloud Hub applications and integrating cloud solutions with on-premises environments.
• Experience integrating technologies such as Azure services, MQTT, Kafka, Snowflake, Digital Twin platforms, and AI solutions within an enterprise integration landscape.
• Experience with real-time APIs, data streaming, event-driven architectures, and real-time data processing.
• Hands-on experience with Git, Maven, Jenkins, and Linux.
• Hands-on Java development experience, including the ability to develop or support custom components and integration logic.
• Experience with Mule Soft RPA and using APIs, RPA, and AI to automate back-office/manual business processes.
• Experience providing production support for on-premises and cloud applications, including monitoring, troubleshooting, and issue resolution.