Mulesoft Developer

4 - 8 years

15 - 30 Lacs

Posted:2 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary: We are seeking an experienced Salesforce MuleSoft Developer to design, develop, and maintain integration solutions using MuleSoft Anypoint Platform . This role will bridge Salesforce and other enterprise systems, ensuring data consistency, system interoperability, and performance optimization. Youll work closely with business analysts, Salesforce developers, and external partners to deliver scalable integration solutions. Key Responsibilities: Design, develop, and manage APIs and integrations using MuleSoft Anypoint Platform . Integrate Salesforce with internal and third-party applications (e.g., SAP, Oracle, Workday). Work with RESTful and SOAP web services, RAML, JSON, XML, and other API standards. Translate business requirements into detailed integration specifications. Create reusable assets (connectors, templates, APIs) and enforce MuleSoft best practices. Monitor, troubleshoot, and optimize integration flows and performance. Ensure secure API and data exchange between systems. Collaborate with cross-functional teams on Agile projects. Maintain documentation of integrations and APIs. Support deployment, versioning, and governance of APIs. Required Skills & Experience: 35+ years of experience in MuleSoft development . Strong background in Salesforce platform and ecosystem. Hands-on experience with Mule 4 , Anypoint Studio, API Manager, and CloudHub. Experience in designing API-led connectivity architecture. Proficient in data transformation tools like DataWeave . Strong knowledge of OAuth 2.0, SSO, and security best practices for integrations. Familiar with CI/CD tools (Jenkins, Git, etc.) and DevOps practices . Understanding of Agile/Scrum methodologies. MuleSoft certification(s) (e.g., MuleSoft Certified Developer – Level 1 ) is a plus. Preferred Qualifications: Salesforce certifications (Administrator, Platform App Builder, or Developer). Experience with message brokers (e.g., Kafka, RabbitMQ) and event-driven architecture. Knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization (Docker, Kubernetes).

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