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.
- 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
Integration & Middleware
Programming & Scripting
Security
- API Security Best Practices
Preferred Qualifications
- 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.
- 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.