Senior MuleSoft Developer (L4)
New
M
MetovaHospitality Entertainment
MexicoContractSenior
Salary not disclosed
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Job Details
- Required Skills
- Distributed Systems
Requirements
- Advanced experience with MuleSoft Anypoint Platform, API-led architecture, and enterprise integration patterns
- Expertise in RAML-based API design, Mule flows, reusable components, and DataWeave
- Strong background integrating complex ecosystems including legacy platforms, SaaS products, and third-party APIs
- Ability to diagnose, troubleshoot, and recommend solutions for complex integration and data orchestration challenges
- Understanding of cloud-native architecture, distributed systems, and API scalability best practices
- Experience supporting headless CMS integrations (ideally Contentful) and customer data platforms
- Familiarity with cross-platform digital experience architectures (web, mobile, kiosk) and how they interact with middleware
- Strong analytical and problem-solving skills
Responsibilities
- Design and implement robust MuleSoft APIs, integrations, and flows using API-led architecture
- Integrate legacy systems, SaaS platforms, hospitality solutions, and third-party services into a unified middleware layer
- Develop reusable connectors, DataWeave transformations, and scalable integration components
- Support implementation of a headless CMS (Contentful) and CDP by exposing, orchestrating, and transforming data
- Diagnose, troubleshoot, and recommend solutions for complex integration challenges across distributed environments
- Apply performance, reliability, observability, and security best practices across all MuleSoft services
- Collaborate closely with experience designers, architects, and data engineers to deliver cohesive, production-ready features
- Participate in technical design reviews, architectural discussions, and iterative product planning
- Build cloud-native, scalable services that support real-time, personalized guest experiences
- Implement testing strategies (unit, integration, functional) to maintain high quality and minimize regressions
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