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 (Madrid)
🏢 Merck
📍 Madrid