Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du effiziente graph-orientierte Datenbanken, optimierst Algorithmen für Betrugserkennung und unterstützt bei der Modellierung von Mikroservices zur Leistungsüberwachung und Fehlersuche.
Job Technologien
Deine Rolle im Team
- Design, integrate, and operate graph-oriented databases for advanced relational analysis.
- Ensure code quality through thorough testing and participate in code reviews.
- Monitor micro-service performance and provide timely improvements and bug fixes.
- 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.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or master's degree in computer science, Software Engineering, or related field.
Qualifikationen
- 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.
- Good knowledge of Microservices architecture principles and patterns.
- 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.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
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
- Gründungsjahr
- 2014
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom