Solutions Architect (MuleSoft) – Remote – Latin America

About the role

FullStack is looking for a senior Solutions Architect specialized in MuleSoft to join our talent network and work remotely with U.S. clients on project‑based engagements. You will become an integral part of the client’s engineering team, collaborating daily with designers and engineers to deliver enterprise‑grade integration solutions.

Key responsibilities

• Integrate directly into client teams and work alongside designers and engineers.
• Design, develop, and deliver scalable API‑led connectivity solutions using MuleSoft’s Anypoint Platform.
• Define technical architecture, integration patterns, and system interfaces for complex enterprise systems.
• Lead technical reviews, provide architectural guidance, and mentor team members.
• Create and maintain CI/CD pipelines and contribute to shared libraries.
• Ensure solutions meet security, scalability, reliability, and performance standards.

Required profile

• 10+ years of professional software development experience.
• 4+ years of hands‑on experience with MuleSoft, including the Anypoint Platform.
• Advanced English proficiency and a completed four‑year college degree.
• Proven track record designing enterprise software and integration architectures.
• Experience leading technical teams, reviewing designs, and working in Agile/Scrum environments.
• Ability to translate business requirements into scalable technical solutions and take extreme ownership of deliverables.

Required skills

• MuleSoft (Anypoint Platform, API‑led connectivity)
• RESTful APIs and API management
• Microservices and distributed systems
• Cloud‑based architectures, security, scalability, reliability, performance
• Continuous Integration / Continuous Delivery (CI/CD)
• Agile/Scrum methodology
• Integration of enterprise applications, databases, and third‑party systems

What we offer

• Flexible, project‑based remote work with U.S. clients.
• Opportunities for career growth across the Americas.
• Collaboration with elite, vetted talent in AI‑native engineering.