Job Title : MuleSoft Integration Architect / Lead MuleSoft Developer
Location : Irvin, TX- Hybrid
Job Description:
10+ Years of IT Experience with 8+ years in MuleSoft Integration Development and Architecture
We are seeking an experienced MuleSoft Integration Architect / Lead MuleSoft Developer to lead the design, architecture, development, and implementation of enterprise-wide integration solutions. The ideal candidate will possess deep expertise in MuleSoft Anypoint Platform, API-led Connectivity, Microservices Architecture, and Enterprise Application Integration (EAI). The candidate will be responsible for defining integration strategies, designing scalable APIs, implementing governance standards, and enabling AI-driven integration capabilities across enterprise ecosystems.
Key Responsibilities
• Design, develop, and implement enterprise-grade integration solutions using MuleSoft Anypoint Platform.
• Define and drive API-led connectivity architecture, including System APIs, Process APIs, and Experience APIs.
• Design scalable, secure, and reusable integration frameworks following MuleSoft best practices.
• Lead architecture reviews, technical design discussions, and implementation strategies for enterprise integrations.
• Develop and manage RAML-based API specifications, ensuring adherence to organizational API standards and governance policies.
• Configure and implement API Manager policies, security protocols, rate limiting, authentication, authorization, and API monitoring capabilities.
• Build integrations across cloud and on-premise applications using REST, SOAP, JMS, FTP/SFTP, databases, and third-party SaaS platforms.
• Design and implement microservices and event-driven integration architectures.
• Collaborate with business stakeholders, solution architects, and development teams to translate business requirements into integration solutions.
• Establish CI/CD pipelines and deployment automation for MuleSoft applications.
• Provide technical leadership, mentoring, and guidance to development teams.
• Perform performance tuning, troubleshooting, and operational support for production environments.
AI & Intelligent Automation Responsibilities
• Design and implement Intelligent Document Processing (IDP) solutions using MuleSoft and AI-powered services.
• Integrate OCR and NLP technologies to automate document extraction, validation, classification, and downstream system integration.
• Develop document pre-processing solutions leveraging AWS Lambda, Java, and Python to improve extraction quality and processing efficiency.
• Implement AI-enabled integrations and facilitate enterprise adoption of intelligent automation workflows.
• Enable AI-agent interactions with enterprise APIs using MuleSoft Model Context Protocol (MCP) and agent-ready integration patterns.
• Leverage AI-assisted development tools such as Cursor AI, VS Code, and MuleSoft Anypoint Extension Pack to accelerate development and improve code quality.
Required Technical Skills
MuleSoft & Integration Technologies
• MuleSoft Anypoint Platform
• Mule 4.x
• API-Led Connectivity
• Anypoint Studio
• API Manager
• Runtime Manager
• Exchange
• Design Center
• CloudHub 1.0 / 2.0
• API Governance
• RAML
• DataWeave 2.0
Integration & Middleware
• ESB Concepts
• SOA Architecture
• Enterprise Application Integration (EAI)
• TIBCO BusinessWorks
• TIBCO EMS
• REST APIs
• SOAP Web Services
• JMS Messaging
• Event-Driven Architecture
• Microservices Architecture
Cloud & DevOps
• AWS
• AWS Lambda
• Docker
• Kubernetes
• Jenkins
• GitHub / Bitbucket
• Maven
• CI/CD Pipelines
Programming & Scripting
• Java
• Python
• JavaScript
• Groovy (Preferred)
Security
• OAuth 2.0
• JWT
• SAML
• Mutual TLS
• OpenID Connect
• API Security Best Practices
Preferred Qualifications
• MuleSoft Certified Integration Architect
• MuleSoft Certified Developer (Level 1 and/or Level 2)
• Experience with enterprise-scale API management and governance programs.
• Experience implementing healthcare, insurance, banking, retail, or other large-scale enterprise integrations.
• Strong understanding of cloud-native integration patterns and hybrid deployment architectures.
• Familiarity with Generative AI, AI agents, MCP, and intelligent automation use cases.
Education
• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Master's Degree preferred.
Desired Soft Skills
• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Ability to lead distributed teams and mentor developers.
• Experience working in Agile/Scrum environments.
• Strong documentation and solution design capabilities.
Nice to Have
• Intelligent Document Processing (IDP) implementations.
• AI/ML integration experience.
• Generative AI and Agentic AI integration projects.
• Experience with Salesforce, SAP, ServiceNow, Workday, or other enterprise SaaS platforms.
• Exposure to MuleSoft MCP and AI-ready API frameworks.
Skills: Salesforce~Digital : MuleSoft
Experience Required: 10 & Above
NOTE: Share me Updated Resumes to divya at vmcsofttech dot com
