Senior Backend Engineer (mwd) Building Scalable AI Systems

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Join us at DNL and help shape the backend of a truly developer-focused platform.

Were building Germanys leading AI-powered tools that analyse financial and non-financial reports.

Using state-of-the-art machine learning technologies we extract key figures from annual financial statements - fully automatically and transparently.

Tasks

Short-term: Skill Building & Impactful Contributions (0-3 months)

Write clean scalable backend code and design components that enhance performance and responsiveness.
Perform rigorous testing and debugging to ensure high system reliability.
Integrate machine learning models into product features to push the boundaries of whats possible.

Mid-term: Specialization & Ownership (3-6 months)

Develop expertise in a focus area that supports both your professional growth and DNLs mission.
Initiate and lead a meaningful project or feature that has a measurable impact.
Experience mentoring or guiding other developers formally or informally and an interest in shaping team culture.
Design and maintain RESTful APIs and real-time communication systems using WebSockets.
Continuously refine the codebase introduce security improvements and help prioritize new features.

Long-term: Leadership & Strategy (6-12 months)

Influence architectural decisions and guide technology choices that shape our products.
Align tech efforts with business strategy by developing a strong understanding of product needs.
Take an active mentoring role - lead code reviews set best practices and help scale our engineering processes.

Requirements

Education & Experience: A degree in Computer Science Engineering or a similar field and at least 5 years of professional backend experience (or equivalent proven expertise) of hands-on experience as a Python backend developer.

Frameworks: Solid knowledge in building microservices using Flask FastAPI or similar tools. Youre confident with writing tests using pytest and comfortable building robust test suites.

Technical Skills: Proficient with CI/CD pipelines and cloud deployment preferably on Azure with Kubernetes. Bonus points for experience in machine learning or theoretical foundations. Youve worked extensively with scalable microservice and event-driven architectures.

Leadership: Strong communication skills and a collaborative mindset; you enjoy helping others grow while driving technical excellence.

Benefits

Above-Average Compensation: We offer a competitive salary well above market average reflecting the impact and expertise we value.

Monthly Perks (Germany-based): If youre employed in Germany youll receive a 50 monthly voucher usable at over 50 popular storescovering everything from groceries to lifestyle.

Innovative Work Culture: A collaborative startup environment with flat hierarchies fast decisions and space for your ideas.

Great People: Work alongside an international team of passionate and driven professionals.

Time Off: 30 vacation days per year to recharge and explore.

Remote Flexibility: Work from anywhere within the EUwhenever it suits you.

Flexible Hours: Adapt your schedule to your personal rhythm and lifestyle.

Top Equipment: Well provide you with the latest hardware to do your best work.

We are looking forward to your application and getting to know you! :)

Join us at DNL and help shape the backend of a truly developer-focused platform. Were building Germanys leading AI-powered tools that analyse financial and non-financial reports. Using state-of-the-art machine learning technologies we extract key figures from annual financial statements - fully auto...