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MuleSoft Engineer

Yuxi Global · Medellín, Antioquia, Colombia · Remote

100100

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Actively hiring

Posted 5 days ago · still listed on the employer's own board · How we score

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  • Posted 5 days ago
  • Still listed on the employer's own board
  • Someone has already applied through it

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MuleSoft Engineer at Yuxi Global. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

We are seeking an experienced MuleSoft Engineer to support a pharmaceutical client’s scientific data and sample-management integrations. You will design, build, and maintain integrations that move critical scientific and operational data reliably between laboratory, sample-management, and enterprise systems. This role suits engineers who take pride in clean integration design, thorough testing, and building flows that hold up in production.

  • 3 to 10 years of software or integration engineering experience
  • Hands-on experience with the MuleSoft Anypoint Platform, including Anypoint Studio, API Manager, Runtime Manager, and Exchange
  • Strong profi ciency in DataWeave for data transformation and mapping
  • Proven experience building, testing, and deploying APIs and integration fl ows in production environments
  • Solid understanding of error handling patterns, retry strategies, and integration monitoring
  • Experience with RESTful APIs, API-led connectivity, and common integration patterns
  • Familiarity with RAML or OpenAPI specifi cations
  • Experience with version control (Git) and CI/CD practices
  • Strong communication skills and the ability to work directly with client stakeholders

Preferred Qualifications

  • Preferred experience in pharmaceutical, biotech, or other life sciences environments
  • Preferred experience working with GxP or validated systems, including documentation and change control expectations
  • MuleSoft Certifi ed Developer or MuleSoft Certifi ed Integration Architect credential
  • Experience with CloudHub, Runtime Fabric, or hybrid deployment models
  • Exposure to cloud platforms (AWS, Azure, or GCP)

Skills

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