IT Solution Architect (m/f/d)

The position

We are seeking an IT Solution Architect to design and evolve a scalable development platform for scientific applications in pharmaceutical development. This role enables scientists to build and operate full-stack applications for AI, machine learning, scientific computing, data pipelines and dashboards, turning ideas into robust, secure and productive tools.

Tasks & responsibilities

• Develop, evolve and adapt the architecture of a scalable platform for scientific tools, models and applications, including HPC/AWS-based computing, DevOps tooling and containerized deployment.
• Define robust platform patterns, boilerplates and reusable templates for scientific applications, APIs, dashboards, data pipelines and AI/ML model deployment.
• Improve the current development platform to support MLOps workflows and help modelers develop, deploy, maintain and move prototypes into productive, maintainable applications efficiently.
• Collaborate closely with researchers, IT teams and business stakeholders to translate scientific requirements into secure, scalable and governed solutions, and connect applications reliably with internal data sources, workflow systems and partner platforms.
• Bring cross-functional teams together within the corporate environment and provide documentation and guidance to deliver sustainable platform and application solutions.

Requirements

• Strong experience designing and evolving scalable platform architectures for scientific, data-driven, cloud-based applications and turning prototypes into productive, maintainable solutions using modern DevOps, CI/CD, MLOps and deployment concepts.
• Practical experience with cloud-native and containerized application deployment, preferably using OpenShift, Docker, Jenkins, SonarQube, Nexus and Atlassian tools; OpenDevStack experience is a plus.
• Strong foundation in Linux/Unix-based scientific computing environments, including HPC, SLURM, Singularity and workflow orchestration; Nextflow experience is beneficial.
• Working knowledge of PostgreSQL and relational database concepts, including querying, integration and basic performance optimization, plus practical experience with Python- and React-based applications using frameworks such as FastAPI, Streamlit or React.
• Experience with MLOps tooling for deploying, versioning, monitoring and maintaining AI/ML models in productive environments; MLflow or Databricks experience is beneficial, combined with strong analytical skills, a collaborative mindset, excellent English communication and a focus on quality, documentation and engineering best practices.

Your Benefits

• Flexible working time models: home office and flexible working hours, depending on department and position – many things are possible with us.
• Additional days off (“bridge-days”): more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
• Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
• Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
• Health promotion: health is important to us – that's why we offer different programs to promote physical and mental health.
• Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!

The remuneration for this position starts at EUR 91.500 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.