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

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 cutting‑edge solutions for the biopharmaceutical industry. The role can be based in Stuttgart, Frankfurt, or remotely.

Responsibilities

• Design and develop the architecture of a cloud‑native 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 high‑quality 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 cloud‑based 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.
• Hands‑on experience with Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit‑learn, 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 non‑technical stakeholders.
• Customer‑facing confidence to address complex systems and provide tailored solutions.
• A proactive, solution‑driven mindset with strong decision‑making and problem‑solving abilities.

Preferred Qualifications

• Experience in biotech, life sciences, or ML/AI‑driven SaaS platforms.
• Knowledge of hybrid modeling, scientific computing, or machine learning workflows.
• German language skills (optional).
• Background in startup or scale‑up environments.

If you are having difficulty in applying or if you have any questions, please contact Thomas Wenig at

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