Mindpeak
(Senior) Full-stack Developer - Backend Focus (Python)
9mo ago
EuropeSeniorpythondockerkubernetesreactdagsterargokubeflow
Develop and maintain backend services and frontend components for AI-driven cancer diagnostic software.
Responsibilities
- Architect and optimize database systems ensuring high reliability and performance.
- Automate and monitor workflow execution for model training, calibration, and inference.
- Maintain and document scalable CI/CD and deployment pipelines.
- Ensure code quality, reproducibility, and clarity across all development processes.
Requirements
- Strong experience in Full-Stack or Backend Development (Python, Django/FastAPI preferred).
- Solid experience in database development (PostgreSQL, MySQL, or equivalent).
- Experience with containerization (Docker, Kubernetes) and Linux environments.
- Bonus: Experience with Machine Learning integration (model APIs, inference pipelines).
- Bonus: Familiarity with MLOps/DevOps tools (DVC, CI/CD, Dagster).
- Bonus: Familiarity with frontend technologies (React.js or similar).
- Strong communication skills, curiosity, and motivation to work in healthcare AI.
Other
- Company Overview: Mindpeak is a Hamburg-based scale-up at the forefront of AI-driven cancer diagnostics. Our software helps pathologists analyze medical images more efficiently and accurately - already clinically deployed in more than 25 countries. Our vision is to enable personalized and effective treatment for every cancer patient - to truly improve medical care and patient outcomes around the world.
- As a Full-Stack Developer within the ML team , you’ll play a key role in designing and building the software systems that power our AI models — from database and API development to workflow automation and UI integration. You’ll collaborate closely with our ML engineers to connect engineering excellence with cutting-edge medical AI.
- Please note: This is an onsite position in Hamburg.
- Designing and implementing robust backend services and databases for AI pipelines, model results, and clinical data.
- Developing and maintaining scalable, containerized systems (Docker/Kubernetes) for large-scale image processing and inference.
- Supporting workflow automation and debugging across distributed systems (e.g. Dagster, Argo, Kubeflow).
- Building and extending frontend components for model management and result visualization (React.js or similar).
- Collaborating with ML Scientists and Product Engineers to integrate AI models into production environments.
- Join a mission-driven company developing AI that helps save lives and elevates cancer diagnostics worldwide.
- Work in an open, creative environment with flat hierarchies, quick decisions, and close collaboration across disciplines.
- Be part of a highly skilled, international team of engineers and scientists, guided by experienced leadership and united by impact.
- Enjoy a centrally located Hamburg office with a stunning harbor view, and a culture that fosters continuous learning, autonomy, and collaboration.
- We’d love to hear from you! Please send us your CV, university certificates, transcripts, references, salary expectations, and let us know your earliest possible start date.
- You can reach us at. For more about us, visit mindpeak.ai
- Just a quick note: We’re only able to consider direct applications—agencies, please don’t apply. Thank you!