Senior Software Architect & Tech Lead — AI SaaS; Remote Europe
Germany, Pike County, Ohio, USA
Listed on 2026-02-28
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IT/Tech
Cloud Computing, AI Engineer
Location: Germany
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 Dev Ops 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 Dev Ops (CI/CD, Infrastructure-as-Code).
- Expertise in ML frameworks (Tensor Flow, 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.
If you are having difficulty in applying or if you have any questions, please contact Nur Ergiydiren at
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