MuleSoft Developer

We're looking for a MuleSoft Developer to design, build, and maintain integration solutions using the Anypoint Platform. The ideal candidate will have strong API-led connectivity experience and familiarity with MuleSoft's growing AI capabilities, helping us build smarter, more automated integration workflows.

Responsibilities: Design, develop, and deploy APIs and integrations using MuleSoft Anypoint Platform (Anypoint Studio, API Manager, Runtime Manager)

Build and maintain RESTful/SOAP APIs following API-led connectivity best practices

Implement MuleSoft AI capabilities such as the MuleSoft AI Chain (MAC) project, Einstein AI integrations, and Intelligent Document Processing (IDP) to automate workflows and enhance data processing

Leverage Anypoint Code Builder (including AI-assisted development features) to accelerate integration development

Integrate MuleSoft flows with LLM-based services for use cases like intelligent routing, document extraction, summarization, and conversational interfaces

Manage API lifecycle including design, security policies, versioning, and deployment (CloudHub, RTF, on-prem)

Troubleshoot and optimize existing integrations for performance and reliability

Collaborate with architects, business analysts, and cross-functional teams to translate requirements into scalable integration solutions

Ensure adherence to security, governance, and compliance standards (OAuth2, TLS, API policies)

Write technical documentation and maintain integration runbooks

Profile Minimum Bachelors Degree in Information Technology or Computer Science.

3+ years of hands-on experience with MuleSoft Anypoint Platform

Strong knowledge of DataWeave, RAML/OAS , connectors, and error handling strategies

Experience with API Manager, CloudHub/Runtime Fabric deployments, and Anypoint MQ

Familiarity with MuleSoft's AI tooling (MAC, Einstein for MuleSoft, IDP, or Anypoint Code Builder AI features) is a strong plus

Understanding of REST, SOAP, JSON, XML, and integration design patterns

Experience with CI/CD pipelines (Jenkins, GitLab CI, or similar) for Mule deployments

Working knowledge of cloud platforms (AWS, Azure, or GCP)

MuleSoft Certified Developer (MCD) certification is must

Strong problem-solving skills and ability to work in agile teams

Experience integrating MuleSoft with LLM providers (OpenAI, Anthropic Claude, etc.) for AI-powered automation

Exposure to vector databases or RAG (Retrieval-Augmented Generation) patterns within integration pipelines

Prior experience in Salesforce ecosystem integrations is added advantage