Principal Software Architect & Technical Lead (m / w / d) (Sofort einstellen)

Architect the future of biotech-where cloud innovation meets scientific discovery. Proclinical is seeking a Principal Software Architect & Technical Lead to join a dynamic team and play a pivotal role in shaping the architecture and technical direction of an innovative cloud-based SaaS platform. This position offers the opportunity to collaborate with scientists, external partners, and enterprise customers to deliver cuttingedge solutions for the biopharmaceutical industry. The role can be based in Stuttgart, Frankfurt, or remotely. Responsibilities Design and develop the architecture of a cloudnative SaaS platform, ensuring scalability, security, and robustness. Make key decisions on infrastructure, cloud services, DevOps, and technical roadmaps. Establish and implement best practices, development standards, and technical guidelines. Contribute to software engineering through prototyping, coding, and code reviews. Develop and oversee data engineering pipelines for seamless data ingestion, transformation, and validation. Collaborate with outsourced development teams, ensuring highquality delivery aligned with product goals. Work closely with scientists to translate innovations into scalable software components. Support customer integrations, data pipelines, and secure system configurations. Mentor junior developers, fostering a culture of collaboration and technical excellence. Key Skills and Requirements Expertise in software engineering and SaaS architecture, with experience in designing scalable cloudbased platforms (e.g., Azure, AWS). Proficiency in DevOps practices, CI / CD pipelines, and system integrations. Strong knowledge of data pipeline design, security best practices, and microservice architectures. Handson experience with Python and machine learning frameworks such as TensorFlow, PyTorch, Scikitlearn, or JAX. Familiarity with tools like Apache Airflow, Snowflake, dbt, or custom ETL stacks for data pipeline implementation. Ability to collaborate with scientific and machine learning teams to develop robust software solutions. Excellent communication skills for engaging with both technical and nontechnical stakeholders. Customerfacing confidence to address complex systems and provide tailored solutions. A proactive, solutiondriven mindset with strong decisionmaking and problemsolving abilities. Preferred Qualifications Experience in biotech, life sciences, or ML / AIdriven SaaS platforms. Knowledge of hybrid modeling, scientific computing, or machine learning workflows. German language skills (optional). Background in startup or scaleup environments. If you are having difficulty in applying or if you have any questions, please contact Thomas Wenig at Apply Now If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists, please request a call back at the top of this page. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - #J-18808-Ljbffr