Lead MuleSoft Developer

MuleSoft Integration Architect / Lead MuleSoft Developer

Irving, TX - Hybrid

Experience: 10+ years

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

• Cloud Hub 1.0 / 2.0

• API Governance

• RAML

• DataWeave 2.0

Integration & Middleware

• ESB Concepts

• SOA Architecture

• Enterprise Application Integration (EAI)

• TIBCO Business Works

• 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..

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.