Mulesoft Solution Architect

Duties & Responsibilities:
• Design and develop robust MuleSoft applications and APIs in a private cloud environment, particularly within MuleSoft
Government Cloud
• Integrate MuleSoft applications with various AWS services, ensuring seamless functionality and performance
• Stay updated with the latest MuleSoft features and AWS services, continually enhancing application capabilities
• Collaborate with cross-functional teams (in-house and Vendor), including business analysts, architects, and quality
assurance professionals, to gather and document integration requirements ensuring alignment with business objectives,
configure and test a Proof of Concepts of MuleSoft. Use cases include: SFTP File Ingestion, API Development, Data
Validation and Mapping, Loading of Operational Data Store and Loading of Snowflake
• Identify, Analyze, Architect and Develop interfaces and integration flows using Mule 4 Anypoint platform including Mule
Runtime, Connectors, Design Centre, and API management in microservices architecture.
• Develop solution features following MuleSoft development best practices, ensuring solution performance and system
scalability.
• Lead the full development lifecycle, from design and development to testing, deployment, and support. Continuously
monitor and optimize integration processes for performance, scalability, and efficiency.
• Secure data at rest and transit using MuleSoft and/or AWS services
• Control event flow and handle errors. Process batch records. Implement different streaming strategies using Mule 4 and/or
Kafka and/or AWS services
• Create prototypes for new solutions based on business requirements and user feedback
• Implement maintainable and modular Mule applications and their Maven builds
Required Qualifications
• 2+ years demonstrated expertise designing, implementing, and supporting Enterprise-grade technical solutions meeting
complex business requirements
• Deep understanding of REST, HTTP, MQ, JSON, XML and SOA Design and develop enterprise services using RAML in
Mule, REST based APIs, SOAP Web Services and use of different mule connectors.
• Extensively worked on Anypoint Studio and used it to interface application services by utilizing connectors, components,
transformers, filters, flow Control, message routing, Active MQ, Kafka, JMS, and Error Handling.