MuleSoft Integration Engineer

Insight Global
Newark, DE, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Information Engineering Queueing Systems RabbitMQ Salesforce.Com Data Streaming Systems Integration Enterprise Data Management Cloud Platform System Snowflake
+7 more
Event Driven Architecture Enterprise Integration Apache 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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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Selecting and evaluating enterprise integration platforms

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Processing asynchronous event streams via standard messaging patterns

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Transforming data architecture from on-premise to cloud

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Drawbacks of event-driven architectures and service queues

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