MuleSoft Integration Engineer

Insight Global
Newark, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Newark, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Information Engineering
Queueing Systems
RabbitMQ
Salesforce
Data Streaming
Systems Integration
Enterprise Data Management
Cloud Platform System
Snowflake
Event Driven Architecture
Enterprise Integration
Kafka
Api Design
Mulesoft
Databricks
Microservices

Job description

A client of Insight Global is looking for a MuleSoft Integration Engineer to join a high-impact modernization initiative focused on transforming enterprise integrations and customer engagement platforms. This individual will work within a defined target-state architecture to build scalable, event-driven integrations between Salesforce, AWS Connect, and downstream enterprise systems. The ideal candidate will partner closely with architecture teams to develop APIs, implement automation solutions, and drive the execution of a strategic MuleSoft integration roadmap.

Requirements

  • 3+ years of hands-on MuleSoft development and enterprise integration experience.

  • Experience building MuleSoft API-led architectures across Experience, Process, and System Layers.

  • Strong event-driven architecture experience with technologies such as Kafka, RabbitMQ, Kinesis, or event streaming platforms.

  • Proven experience integrating MuleSoft with Salesforce and building API-based Salesforce integrations.

  • Experience developing enterprise APIs, microservices, system-to-system integrations, and automation frameworks. * AWS experience, including Lambda, message queuing, Bedrock, and event-driven cloud architectures.

  • Data engineering background with Snowflake, Databricks, or other enterprise data platforms.

  • Experience within banking, financial services, retail banking, or highly regulated environments.

  • MuleSoft certifications.

  • Exposure to AI-enabled solutions or enterprise AI initiatives.

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