Python Software Engineer (Mid-level) - Remote

Overview

With Sonia, doctors are successful doctors. We create and deploy AI-enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re an intrinsically motivated self-starter who values impactful work, join us in revolutionizing healthcare.

We’re looking for a Python Software Engineer (all) to help us build scalable, reliable backend services and APIs for our AI-driven products. You’ll work closely with our engineering and ML teams to design and implement robust systems for real-time communication, data processing, and automation—always with code quality, performance, and maintainability as your guiding principles.

This role can be performed in a hybrid setup from our offices in Luxembourg or Berlin, or remotely from anywhere in Germany or Luxembourg.

In Short

• Develop and maintain scalable backend services using Python 3 (with async and strong typing)
• Design and implement RESTful APIs and real-time communication via WebSockets
• Write clean, maintainable, and well-tested code following best engineering practices
• Debug and troubleshoot production issues to ensure reliability and performance
• Work with containerization (Docker) and contribute to CI/CD pipeline improvements
• Collaborate with cross-functional teams to integrate APIs and backend systems with ML services
• Proactively bring in ideas for improving architecture, automation, and processes

Requirements

• 3+ years of professional experience in software development with Python 3
• Strong knowledge of asynchronous programming and type hinting in Python
• Experience with at least one web framework (FastAPI, Django, or Flask)
• Proven experience in building and consuming RESTful APIs
• Working experience with real-time communication using WebSockets (Socket.IO, FastAPI WebSockets, etc.)
• Familiarity with version control systems (Git, GitLab, Bitbucket)
• Practical knowledge of testing frameworks and debugging in production environments
• Experience with containerization (Docker) and basic CI/CD concepts
• Solid understanding of software engineering principles, design patterns, and clean code practices
• Nice-to-Haves: Experience working with LLMs, knowledge of message brokers, exposure to NoSQL databases, familiarity with DevOps tools or Kubernetes environments, contributions to open-source projects

Benefits

• Full ownership of critical backend components in a fast-growing AI environment
• A team that values curiosity, learning, and pragmatic problem-solving
• Flexible working arrangements
• Competitive salary depending on experience
• Work on products that directly impact healthcare innovation