Job
- Level
- Senior
- Location
- Graz, Linz, Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 77.000 to 87.000€ gross/year
Job Summary
In this role, you will develop scalable backend services in Python, closely collaborate with data scientists to implement ML/AI models, and make architectural decisions for our data infrastructure.
Job Technologies
Your role in the team
- Healthcare meets AI: Backend that enables hospitals to make better decisions.
- At DaphOS, you develop the core systems of a B2B healthcare platform. Hospitals use these to plan and manage their processes and staffing needs more quickly and accurately. You work closely with Data Science and bring ML/AI models from concept to stable production. In doing so, you build scalable APIs, ensure a clean architecture, and have a direct impact on the product.
- You design, develop, and operate scalable backend services in Python.
- Together with the Data Science team, you make ML/AI models production-ready.
- You make architecture decisions regarding our Data Infrastructure (pipelines, storage).
- With reviews, tests, and technical standards, you ensure code quality.
- You develop features together with frontend engineers, data scientists, and product management.
- You actively drive the technical development of our platform forward.
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Our expectations of you
Education
- You have a degree in a natural science (Physics, Mathematics, Computer Science, or similar) or proven experience in Data Science, ML, or AI.
Qualifications
- You are familiar with relational databases (PostgreSQL) and cloud infrastructure (Docker, Kubernetes).
- You work independently and want to shape the growth of a startup.
- You speak German and/or English at least at C1 level.
- Plus: You have knowledge of Rust or alternatively Go.
- Clear plus: You have already independently developed and trained ML models.
- Additional plus: You live in the Graz, Vienna, or Linz area.
Experience
- You bring approximately 5 years of professional experience in backend development with Python.
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What we offer
- Attractive salary - commensurate with qualifications, experience, and IT collective agreement (38.5 hours/week)
- Flexible working model (hybrid) - the position can be based in Graz, Vienna, or Linz, preferably in Graz - and you can work up to 2 days a week from home (from Austria)
- An environment where you can make an impact from day one - no long ramp-up times
- Short decision-making paths and direct influence on architecture and product
- Many opportunities for professional and personal development, especially at the intersection of Backend and ML
- Excellent working atmosphere and regular team events
- The classification is based on IT-KV in ST2 - from €4,061 gross/month (based on 38.5 hours/week, 14 times annually). Your exact position will be determined in the interview. We offer above the standard salary depending on qualifications and experience.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
DaphOS
Linz, Graz
Die DaphOS KI Software Plattform bietet Einblicke in zukünftige Entwicklungen und unterstützt Führungskräfte bei operativen und strategischen Entscheidungen im Gesundheitswesen. Die Plattform identifiziert frühzeitig Risiken und Chancen und liefert dafür konkrete Handlungsvorschläge. So können beispielsweise Personalengpässe frühzeitig erkannt, Prozesse optimiert und der Ressourceneinsatz verbessert werden.
Description
- Company Size
- 1-49 Employees
- Founding Year
- 2022
- Language
- German, English
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Internet, IT, Telecommunication, Science, Research
Senior Backend Engineer - Python & Rust
- Salary
- 77.000 to 87.000€ gross/yearEstimated net salary based on the gross salary in the job ad.50.158 to 55.485 € net/year
- Location
- Graz, Linz, Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
