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Software Architect & Technical Lead
Job summary
A leading recruitment agency is seeking a Principal Software Architect & Technical Lead to drive the architecture of a cloud-native SaaS platform integrating machine learning. Ideal candidates will have extensive experience in Python, cloud architecture, and a passion for technical leadership. This is a senior role for someone eager to shape innovative solutions in a fast-paced environment with a flexible, remote work model.
Benefits
Qualifications
- Strong experience in Python and modern software engineering principles.
- Proven track record in cloud architecture and DevOps practices.
- Expertise in ML frameworks and understanding of MLOps.
Responsibilities
- Design and evolve a robust SaaS architecture including microservices and cloud infrastructure.
- Contribute to coding, prototyping, and code reviews.
- Implement secure, automated data pipelines.
Skills
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.
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.
- 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.
- 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.
- 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.
- 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.
Nur Ergiydiren at n.ergiydiren@proclinical.com
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.