OverviewIn this role, you join Platform Engineering to build and improve internal platform capabilities that streamline how product teams develop, deploy, and operate software.

You'll gain experience with cloud-native techniques, automation, and self-service tooling to reduce friction and boost developer efficiency.

You will work closely with platform and software engineers to deliver well-tested components and automation, while learning how platform services are designed and operated.

This position offers meaningful impact through enabling teams to move faster and deliver value at scale.

ResponsabilidadesDevelop, test, document, and maintain software components, internal tools, and automation for the engineering platform

Contribute to self-service capabilities that help product and data teams work more efficiently

Turn well-defined manual tasks into reliable automated workflows

Write clean, maintainable code and participate in code reviews

Investigate and resolve straightforward defects and operational issues with guidance

Contribute to unit, integration, and automated quality checks

Collaborate with platform, software, and data engineers and internal users to validate solutions





Contribute technical input to team documentation and design discussions

Apply security, reliability, observability, version control, and continuous delivery practices

Continuously develop technical skills and share learnings with the team

Requisitos principalesDegree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline

1–2 years of professional software engineering experience or equivalent internships

Solid programming fundamentals with practical experience in at least one general-purpose language (Python favored)

Understanding of core software engineering concepts: version control, testing, APIs, debugging, maintainable code

Familiarity with Git-based collaboration and code-review practices

Structured, curious approach to problem-solving and quick learner

Clear written and spoken English

Valuable: exposure to data engineering (Python, SQL, data pipelines), cloud services (preferably AWS), infrastructure-as-code, CI/CD, and interest in AI/ML developments and agentic engineering curiosity learnability collaboration

Python

Git

APIs

📌 Software Engineer, Platform (All Genders) - Madrid
🏢 Merck
📍 Madrid