Job
- Level
- Senior
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this position, you develop efficient graph-oriented databases, optimize fraud detection algorithms, and assist in modeling microservices for performance monitoring and bug fixes.
Job Technologies
Your role in the team
- Design, integrate, and operate graph-oriented databases for advanced relational analysis.
- Ensure code quality through thorough testing and participate in code reviews.
- Überwachen Sie die Leistung der Micro-Services und implementieren Sie rechtzeitig Verbesserungen sowie Fehlerbehebungen.
- Work closely with the product owner to understand customer needs and contribute to the product roadmap.
- Optimize algorithms and services to ensure high performance, scalability, and consistent reliability.
- Designing and modeling signals into expressive and efficient data structures.
- Building and scaling backend microservices and distributed architecture to support the engine in production.
- Designing and implementing analytical frameworks and decision systems to apply rules and detect fraudulent patterns across data structures.
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Our expectations of you
Education
- Bachelor's or master's degree in computer science, Software Engineering, or related field.
Qualifications
- You are a curious and rigorous Python developer with a passion for building reliable and impactful systems.
- You are comfortable working in a complex, data-intensive environment and enjoy collaborating closely with engineers, researchers, and product owners within the AI & ML team.
- You bring a strong engineering mindset and are eager to contribute to a critical fraud detection engine at scale.
- Gutes Wissen über Prinzipien und Muster der Microservices-Architektur.
- Containerization with Docker.
- Strong problem-solving and analytical mindset.
- Ability to work collaboratively in a cross-functional team.
- Rigor, service orientation, and product mindset.
- Curiosity, appetite for technical challenges, and continuous learning.
- Graph Machine Learning (GraphSAGE, Node2Vec, GNN, PyG).
- GenAI and LLM-assisted analysis, rule generation, and anomaly explanation.
Experience
- Strong Python development skills with a focus on building production-grade services, with at least 5 years as a Python Developer, with a strong focus on building scalable and high-performance applications.
- Experience with REST API design and development (OpenAPI/Swagger).
- Experience with Graph databases and query languages (Neo4j, Neptune, Cypher, Gremlin).
- Experience with fraud detection algorithms, machine learning, and artificial intelligence.
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What we offer
- Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
- We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
- We make your remote work comfy: we provide support on equipment and offer flexible working hours.
- We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
- May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
- Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
- In addition to the perks & benefits above, we offer specific benefits that differ between our locations.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
IDnow
Wir sind einer der führenden Anbieter für Identifizierungslösungen wie AutoIdent, VideoIdent- und eSigning-Produkte in Europa. Unsere Lösungen garantieren europaweite Rechtskonformität und höchste Datensicherheit. Im Bereich Video-Identifikation von Kunden und elektronische Signatur waren wir die ersten, die eine rechtssichere Lösung ohne zusätzliche Hardware auf den Markt gebracht haben.
Description
- Founding Year
- 2014
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Python Developer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
