Senior Backend Developer, Java

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Experian

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10.000+ Mitarbeiter

Gegründet 1996

🤖 Künstliche Intelligenz

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian entfesselt die Kraft der Daten, um Chancen für Verbraucher, Unternehmen und die Gesellschaft zu schaffen. In den großen Momenten des Lebens – vom Kauf eines Hauses oder Autos über das Studium eines Kindes bis hin zum exponentiellen Wachstum eines Unternehmens durch die Vernetzung mit neuen Kunden – befähigen wir Verbraucher und unsere Kunden, Daten mit Zuversicht zu verwalten, damit sie jede Gelegenheit maximal nutzen können.

Beschreibung

• Work in a multidisciplinary team as a Software Engineer on backend applications, actively participating in discussions, proposals, and planning • Serve as a technical point of reference, resolving critical blockers and providing expert guidance • Participate in the full software development lifecycle, from design to deployment and operation • Apply SOLID principles and Design Patterns in implementation, testing, and maintenance • Develop scalable solutions for millions of users • Communicate effectively and carefully analyze requests from Business and Product teams, among others • Ensure the quality of deliverables • Share knowledge and support the team's development • Conduct code reviews and properly apply test cases • Keep service documentation up to date • Continuously seek technical and performance improvements • Demonstrate willingness for continuous learning and ongoing professional development

🎯 Anforderungen

• Excellent communication skills • Ability to work in a team, with planning, organization, and negotiation skills • Proficiency in Java 17+ using the Spring Framework (Spring Boot, Spring Data, Spring Batch) and microservices architecture with REST APIs and GraphQL • Experience with unit testing (JUnit, Mockito, etc.) • Experience with relational and non-relational databases • Experience with containerized microservices (Docker) and orchestration (Kubernetes) • Knowledge of key software architecture models and patterns, such as Design Patterns and SOLID • Hands-on experience with cloud application solutions, especially AWS (EKS, EC2, S3, EMR, SQS, etc.) • Experience with CI/CD pipelines, particularly using Jenkins • Nice to have: Experience with Spark (Python or Scala) • Familiarity with big data solutions, including Data Lake, Data Warehouse, ETL, BI, Data Mesh, MLOps, and others • Experience with application instrumentation and observability (Dynatrace, Datadog, Grafana, etc.) • Knowledge of messaging and event tools such as RabbitMQ and Kafka

🏖️ Vorteile

• Diversity, Equity & Inclusion (DEI) • Work/life balance • Career development • Authenticity • Collaboration • Wellness programs • Reward & recognition • Volunteering