Backend Developer Python

Mindpeak is a Hamburg-based AI company dedicated to democratizing cancer diagnostics. Our software supports pathologists in detecting cancer faster and more accurately by applying state-of-the-art deep learning to medical images. Our AI solution is the first to be implemented in clinical histopathology for primary diagnostics in the USA and is used in routine workflows around the world.

We tackle a central challenge in modern healthcare: a growing demand for medical image analysis with a static number of cancer experts. By providing powerful, robust tools for visual diagnosis, we help pathologists focus on what only humans can do best—while our technology takes care of the rest.

Role: (Senior) Backend Developer Python (f/m/d), AI-Based Cancer Diagnostics

Focus: Building and scaling high-quality backend services that power AI models and digital pathology tools

Team: You'll be part of the development team, working closely with machine learning, product, and front-end colleagues. You will report directly to our VP Engineering.

Digital pathology comes with unique technical challenges: whole-slide images with file sizes of several gigabytes and resolutions up to 100,000 x 100,000 pixels. You'll help design and implement solutions such as efficient image streaming via an advanced image server, ensuring that our AI models can be served reliably to pathologists, labs, and partners worldwide.

You'll work on:

• Turning cutting-edge AI models into robust, scalable APIs for real-world clinical use
• Building tools and services to automate our data annotation and image processing pipelines
• Integrating scanners, image viewers, and lab information systems into seamless, automated workflows
• Shaping technical decisions from the ground up in a fast-moving, high-impact environment

• Design, develop, test, deploy, maintain, and improve backend services that serve machine learning models in production.
• Write clean, maintainable, and well-tested code with a strong focus on reliability and performance.
• Build automation tools to streamline and optimize our data annotation pipeline.
• Work with technologies such as Docker, AWS, Python, and (partially) React to develop best-in-class digital pathology tools.
• Integrate existing pathology hardware and software (e.g. scanners, image viewers, LIS) into automated workflows.
• Manage your own project priorities, deadlines, and deliverables with a high degree of ownership.
• Collaborate closely with product, design, front-end, deep learning, and infrastructure colleagues to keep everything running smoothly.
• Select and implement the most effective technical approach for each task.

Background & Experience

• MSc in Computer Science or a related field, or equivalent practical experience.
• At least 3–5 years of professional experience with impactful contributions to software products.
• Strong track record in backend development with Python.
• Experience with Linux and Docker; Linux server administration/operations is a plus.

Skills & Mindset

• Solid software engineering skills; experience with web development (JavaScript and CSS) is a plus.
• Curiosity for technical hardware devices and experience interfacing with them via APIs.
• Interest in the technological ecosystem of laboratories (e.g. whole-slide scanners, image viewers).
• Enjoy working in interdisciplinary teams and "thinking outside the box."
• Able to work independently and drive your own projects forward.
• Strong analytical skills and a commitment to continuous learning, mentoring, and knowledge sharing.
• Comfortable in a fast-paced, dynamic environment with shifting priorities.
• Fluent in English; German is a plus.

• The opportunity to bring cancer diagnostics to a whole new level and make a real impact on patient care.
• An open, creative work environment with flat hierarchies and quick decision-making.
• Close collaboration with a skilled, international team and experienced management.
• Diverse, engaging projects that help you deepen both your technical and domain expertise.
• A centrally located Hamburg office with a beautiful view over the harbor.

Please send us:

• CV
• University certificates and transcripts of records
• Job references
• Salary expectations
• Earliest possible starting date

Contact:

• Email:

Note: Direct applicants only. We do not work with recruiting agencies for this position.