Principal Software Architect & Technical Lead - SaaS & ML Platforms
Location : Flexible (Remote & Europe Based)
Employment Type : Full-Time
Experience Level : Senior (8+ years)
- Applicants must hold a valid EU work permit and / or reside within Europe. Please note that only eligible candidates will be contacted.
About the Role :
On behalf of our innovative medtech client we are looking for a hands-on senior technical leader to drive the architecture and evolution of a cloud-native SaaS platform that integrates machine learning and scientific modeling. This role combines software engineering excellence, scalable system design, and customer-facing technical leadership. You will define the technical roadmap, guide infrastructure decisions, and ensure the platform meets enterprise-grade standards for performance, security, and scalability.
Key Responsibilities :
Software Architecture & System Integration & Platform : Design and evolve a robust SaaS architecture, including microservices, cloud infrastructure, and DevOps pipelines.Hands-On Development : Contribute to coding, prototyping, and code reviews to maintain technical depth.Data Engineering : Implement secure, automated data pipelines for ingestion, transformation, and validation.Cross-Functional Collaboration : Work closely with scientific and ML teams to translate complex models into scalable software components.Customer Engagement : Act as a trusted technical advisor for enterprise clients, guiding integrations and secure data workflows.Team Leadership : Mentor developers, enforce best practices, and foster a culture of technical excellence.Required Skills
Strong experience in Python and modern software engineering principles.Proven track record in cloud architecture (AWS, Azure, or similar) and DevOps (CI / CD, Infrastructure-as-Code).Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and understanding of MLOps principles.Knowledge of data pipeline design, APIs, and integration frameworks.Excellent communication skills for both technical and non-technical stakeholders.Preferred
Background in life sciences, biotech, or AI-driven SaaS platforms.Experience with hybrid modeling or scientific computing workflows.Familiarity with startup or scale-up environments.Why Join?
Shape the next generation of AI-powered SaaS platforms in a high-impact industry.Collaborate with world-class engineers and domain experts.Enjoy a dynamic, innovative environment with opportunities for growth.