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

Proclinical

Stuttgart

Vor Ort

EUR 80.000 - 100.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading biotechnology firm is seeking a Principal Software Architect & Technical Lead to shape the architecture of an innovative cloud-based SaaS platform. The role involves designing scalable solutions and collaborating with scientists and external partners. Candidates should have extensive experience in software engineering, cloud services, and data pipeline design. The position offers flexibility with the option to work remotely or in Stuttgart or Frankfurt.

Qualifikationen

  • Expertise in software engineering and SaaS architecture, with experience in designing scalable cloud-based platforms.
  • Strong knowledge of data pipeline design, security best practices, and microservice architectures.
  • Excellent communication skills for engaging with both technical and non-technical stakeholders.

Aufgaben

  • Design and develop the architecture of a cloud-native SaaS platform.
  • Make decisions on infrastructure, cloud services, DevOps, and technical roadmaps.
  • Mentor junior developers and collaborate with outsourced teams.

Kenntnisse

Software engineering expertise
SaaS architecture design
Cloud services (Azure, AWS)
DevOps practices
CI/CD pipelines
Data pipeline design
Microservice architectures
Python programming
Machine learning frameworks
Excellent communication skills

Tools

Apache Airflow
Snowflake
Custom ETL stacks
Jobbeschreibung

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 t.wenig@proclinical.com.

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.

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