Scientific Research Platforms Engineer

In this role you will be responsible for the development, integration, operation, and continuous improvement of digital solutions supporting Research & Development laboratories. The role works closely with scientists, business stakeholders, IT teams, and external partners to deliver reliable, scalable, and innovative solutions that enable efficient research processes and data-driven decision-making.
Tasks and responsibilities
Develop, maintain, and support scientific and laboratory applications used within R&D environments.
Design, build, and operate integrations between laboratory systems, enterprise applications, cloud services, and data platforms to enable seamless data exchange and process automation.
Develop modern applications using contemporary technology stacks, software engineering best practices, and reusable architectural patterns.
Contribute to the design and implementation of cloud-native and API-driven solutions that support evolving business and scientific requirements.
Leverage the Enterprise Development Platform (EDP) to integrate, manage, and consume research and operational data across the digital ecosystem.
Implement and maintain CI/CD pipelines to enable automated build, testing, deployment, and monitoring processes, ensuring high-quality and reliable software delivery.
Apply AI-assisted engineering practices and modern developer productivity tools to accelerate solution development, improve code quality, and increase delivery efficiency.
Analyze business requirements and translate them into practical technical solutions that meet operational and research needs.
Support application lifecycle activities including development, deployment, configuration, testing, upgrades, and maintenance.
Investigate and resolve technical issues while ensuring system stability, performance, and user satisfaction.
Collaborate with cross-functional teams to deliver enhancements, new capabilities, and continuous improvements.
Contribute to solution design, technical documentation, and operational procedures.
Support agile development and delivery processes, including backlog refinement, testing, and release activities.
Ensure compliance with corporate security, quality, and data management standards.
Identify opportunities for automation, modernization, and process optimization across the digital research landscape.
Requirements
Bachelor's or master degree in a relevant field
4-5 years of relevant experience in software development, systems engineering, or application integration, ideally in complex enterprise or scientific environments.
Good knowledge of modern software engineering practices, APIs, cloud technologies, and application architecture.
Experience with CI/CD, automated testing, deployment, monitoring, and DevOps practices.
Strong analytical and troubleshooting skills, with the ability to translate business requirements into practical technical solutions.
Experience working collaboratively in Agile, cross-functional environments with technical and business stakeholders.
Proactive mindset with an interest in automation, AI-assisted development, modernization, and continuous improvement.
Fluency in English is a must. Knowledge of Spanish and German would be considered a plus
Please note: The job title used in this advertisement may differ from the official contractual title.
#IamBoehringerIngelheim because…
We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:
Flexible working conditions
Life and accident insurance
Health insurance at a competitive price
Investment in your learning and development
Gym membership discounts
If you have read this far, what are you waiting for to apply? We want to know more about you!

Skills
CI/CD, Automation Testing, Agile, Documentation

Experience
4-5 yrs