MuleSoft Integration Engineer

at Insight Global in Newark, Delaware, United States

Job Description

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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and 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.