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• No of position :- ( 1 )

• Post :- 28th Dec 2021

The Georgia Tech Research Institute seeks a Sr. Mulesoft Developer to work with and under the direction of the Project Manager, Solutions Architect and with customer or  product owners as appropriate.

• Advance experience in understanding the requirements and translate it into technical designs leveraging

  services using RAML in Mule, REST based APIs, SOAP Web services and use of different mule connectors.

• Advanced and practical technical experience in version Mulesoft 4.2 or higher. (GTRI currently on 4.3)  

• Advanced knowledge on AnyPoint Platform 7.5+.

• Advanced experience in creating RAML, good understanding of protocols such as SOAP, WSDL, XSD, REST,

  JSON etc.

Experience and Job Responsibilities Required

• 5+ years of hands-on experience in MuleSoft

• Hands-on experience on designing Swagger 2.0/3.0 and RAML 1.0 specs using JSON & YAML languages.

• Hands on experience in large scale API and SOA design, development, and deployment.

• Hands on experience in MuleSoft features like DataWeave, API designer and various Connectors to ensure

  robust and loosely coupled integration layer.

• Hands-on experience in developing API with MUnits, exception handling and various mule core components

• Experienced in developing Mule ESB flows and integrations, RAML design, Mule Dataweave, connectors and

Exception Handling

• Advanced working experience and/or knowledge on administrative aspects of Anypoint Platform.

• Advanced working experience writing and running MUnit tests

• Strong working experience using web services/APIs to access and integrate with external systems.

• Strong development experience in core Java, JMS, XML, Web API - SOAP/WSDL, REST/JSON

• Advanced Experience in using database programming including JDBC, and relational databases like SQL

  Server or Oracle

• Good exposure to Continuous Integration and Delivery tools surrounding Anypoint Platform using tools like

  BitBucket and Bamboo along with Anypoint Runtime Manager.

• Develop architectural strategies for data modeling, design, and implementation to meet stated requirements

  for metadata management, operational data stores and Extract Transform Load environments.

Preferred Education

• Bachelors/Master’s degree in Computer Science or related field

• Certification in Mulesoft – A plus