4 publicaciones de empleo destacadas en api & integration architect (¡Están contratando!)

Senior MuleSoft Developer (L4)
Metova —México
- Home Office (Desde casa)
- Licenciatura
- Mejora continua
Postulación rápida
Salesforce Developer - Remote - ONLY MEXICO
Scalepex —México
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Bachillerato
Postulación rápida
Senior Middleware Engineer
Partner One Capital —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Java
Postulación rápida
Principal Software Engineer (.NET/C#)
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
Postulación rápida
3h

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Senior MuleSoft Developer (L4)

Metova -
México

Postulación rápida

Información del empleo

Cualificaciones

Sistemas de gestión de contenidos
Licenciatura
Mejora continua
Kafka
SaaS

Descripción completa del empleo

We are seeking a MuleSoft Developer (L4) to help build a modern, unified digital experience platform for a large multi-venue hospitality and entertainment organization. In this senior, hands-on integration role, you’ll architect and deliver a scalable API and middleware layer that powers personalized guest journeys, real-time itinerary orchestration, and seamless interactions across web, mobile, and kiosk applications.

You’ll work at the intersection of enterprise integration, API-led connectivity, and cloud-native engineering, designing and implementing complex system interactions that bring a next-generation digital ecosystem to life. As part of a cross-functional product team, you’ll collaborate closely with experience designers, architects, and data engineers to ship production-ready features that elevate both guest experience and operational efficiency.

What You’ll Do

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
Contribute to continuous improvement, operational readiness, and incident resolution

Requirements

Required Skills & Qualifications

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 with the ability to evaluate alternative integration approaches

Nice to Have

Experience with Vercel or similar serverless deployment environments
Background in hospitality, entertainment, or high-volume customer experience systems
Familiarity with real-time or event-driven patterns (Kafka, Webhooks, etc.)
Experience with observability and monitoring tools for distributed systems
Prior work on large-scale, high-visibility digital transformation programs
Experience using AI-assisted development tools such as Vibes, GitHub Copilot, Claude Code, or OpenAI Codex
Familiarity with modern development environments such as VS Code, Cursor, or Zed

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