Software Engineer, Platform (all genders)

Merck Group

Madrid

Sur place

EUR 42 000 - 68 000

Plein temps

Il y a 8 heures
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Résumé du poste

Merck Group is seeking a Software Engineer to join our Platform Engineering team in Madrid. You will contribute to practical platform capabilities, build automated workflows, and help engineers deploy and operate reliable software.

You will learn platform service design and collaborate closely with cross-functional teams to drive automation and value. With 1–2 years of software engineering experience and solid Python fundamentals, you’ll work on well-scoped features, improve tooling, and expand

Qualifications

  • Degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline.
  • 1–2 years of relevant professional experience in software engineering, including internships or equivalent hands-on experience where applicable.
  • Solid programming fundamentals and practical experience in at least one general-purpose programming language; Python is particularly relevant.
  • Understanding of core software engineering concepts such as version control, testing, APIs, debugging, and maintainable code.
  • Familiarity with Git-based collaboration and code-review practices.
  • A structured, curious approach to problem-solving and a willingness to ask questions, seek feedback, and learn quickly.
  • Clear written and spoken English.
  • Valuable: exposure to data-engineering practices such as Python, SQL, or data pipelines; cloud services (preferably AWS) and infrastructure-as-code concepts; CI/CD and modern DevOps practices; and curiosity about current AI/ML developments, including LLM-enabled developer tools or agentic engineering approaches.

Responsabilités

  • Develop and maintain platform components and automation to support engineering teams.
  • Learn how platform services are designed and operated and turn repetitive engineering work into reliable automated workflows.
  • Write clean, readable, and maintainable code and participate in code reviews.
  • Investigate and resolve defects, operational issues, and support requests with guidance as needed.
  • Contribute to unit, integration, and automated quality checks for services and tools you build.
  • Collaborate with platform engineers, software engineers, data engineers, and internal users to understand requirements and validate solutions.

Connaissances

Python
Git
APIs
Testing
CI/CD
DevOps
English

Formation

Bachelor's degree in Computer Science

Outils

AWS

Description du poste

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role

Our Platform Engineering team makes it easier for engineering teams to build, deploy, and operate reliable software. We create the shared tools, self-service capabilities, and automations that reduce friction, improve developer experience, and help teams spend more time delivering value.

As a Software Engineer, you will contribute to practical platform capabilities while growing your engineering craft alongside experienced colleagues. You will work on clearly scoped features and improvements, learn how platform services are designed and operated, and turn repetitive engineering work into simple, dependable automation.

If you enjoy solving real problems with code, are curious about cloud-native technologies, and naturally ask “can we automate this?”, this role is for you.

You will contribute to the development and ongoing improvement of internal platform products and engineering tooling. Working with guidance from more experienced engineers, you will deliver well-tested solutions, learn from feedback, and build a strong understanding of the teams who use the platform. This includes developing, testing, documenting, and maintaining software components, internal tools, and automation for the engineering platform; contributing to self-service capabilities that help product and data teams work more efficiently and consistently; turning well-defined manual or repetitive tasks into reliable automated workflows; writing clean, readable, maintainable code and participating actively in code reviews; investigating and resolving straightforward defects, operational issues, and support requests with guidance when needed; contributing to unit, integration, and automated quality checks for the services and tools you build; working closely with platform engineers, software engineers, data engineers, and internal users to understand requirements and validate solutions; contributing technical input, examples, and implementation detail to team documentation and design discussions; learning and applying the team’s practices for security, reliability, observability, version control, and continuous delivery; and continuously developing your technical skills while sharing useful learnings with the team.

Who You Are
  • Degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline.
  • 1–2 years of relevant professional experience in software engineering, including internships or equivalent hands-on experience where applicable.
  • Solid programming fundamentals and practical experience in at least one general-purpose programming language; Python is particularly relevant.
  • Understanding of core software engineering concepts such as version control, testing, APIs, debugging, and maintainable code.
  • Familiarity with Git-based collaboration and code-review practices.
  • A structured, curious approach to problem-solving and a willingness to ask questions, seek feedback, and learn quickly.
  • Clear written and spoken English.
  • Valuable: exposure to data-engineering practices such as Python, SQL, or data pipelines; cloud services (preferably AWS) and infrastructure-as-code concepts; CI/CD and modern DevOps practices; and curiosity about current AI/ML developments, including LLM-enabled developer tools or agentic engineering approaches.
What we offer:

We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

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