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MuleSoft Integration Engineer - Anypoint Platform

Posted on: 17/12/2025

Job Description

Description :


Job Summary :


We are seeking an experienced MuleSoft Integration Engineer to design, develop, and manage enterprise-grade integration solutions. The ideal candidate will have deep expertise in MuleSoft Anypoint Platform, strong hands-on experience with Kafka-based integrations, and the ability to build scalable, secure, and high-performance APIs. This role requires close collaboration with cross-functional teams and active participation in architecture and design decisions.


Key Responsibilities :


- Design, develop, and implement enterprise integration solutions using MuleSoft Anypoint Platform


- Build, deploy, and manage Mule ESB flows and APIs for complex system integrations


- Develop and maintain RESTful APIs and SOAP-based services


- Implement event-driven integrations using Confluent Kafka


- Design and enforce API-led connectivity (System, Process, and Experience APIs)


- Collaborate with business analysts and stakeholders to understand integration requirements


- Perform performance tuning, debugging, and root-cause analysis for integration issues


- Implement security standards including OAuth 2.0, JWT, TLS, and API policies


- Deploy and manage MuleSoft applications in AWS environments


- Utilize CI/CD pipelines for automated build, test, and deployment processes


- Ensure high availability, scalability, and reliability of integration solutions


- Create technical documentation, integration design documents, and API specifications


- Mentor junior developers and provide technical leadership when required


Mandatory Skills & Technical Expertise :


- 7+ years of overall experience in software or integration development


- 5+ years of hands-on experience with MuleSoft / Mule ESB


- Strong experience with :


- MuleSoft Anypoint Platform (Design Center, Runtime Manager, API Manager)


- RESTful APIs and SOAP web services


- Confluent Kafka and event-driven architecture


- Experience hosting and managing Confluent Kafka on AWS


- Strong knowledge of integration patterns and enterprise integration best practices


- Proficiency in data transformation using DataWeave


- Experience with error handling, logging, and monitoring strategies


- Familiarity with CI/CD tools and platforms such as :


- Tekton


- Kubernetes (preferred)


- Hands-on experience with Git and version control systems


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