Level: Senior

Job Field: Database, Back End

Employment Type: Full Time

Contract Type: Permanent employment

Salary: 4.600 to 6.000€ Gross/Month

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you develop backend search applications using Java and Spring Boot, optimize PostgreSQL queries, and implement new components like LLM-assisted RAG for semantic search.

Job Technologies

Your role in the team

As a Java software developer (m/f/d), you will develop backend search applications using Java and Spring Boot.
Data storage is handled in PostgreSQL, where you optimize queries and focus on performance.
You work on projects related to inventory systems with Apache Solr and use Elasticsearch for new implementations, ensuring consistent indexes and a clean integration via internal APIs.
You utilize the existing CI/CD pipeline for build, testing, and deployment, and further develop automated tests.
They also contribute to the integration of new components - including LLM-powered RAG functionality for semantic search.

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Our expectations of you

Education

Completed technical education at a HTL, FH, or university.
Educational focus in the field of IT, WINF, Software Development, Software Engineering, or similar.

Qualifications

In-depth knowledge of relational databases, especially PostgreSQL.
Experienced in CI/CD and very good knowledge in test automation.
Very good German skills and very good English skills.
Team-oriented and reliable to succeed in a small, project-based team.
Proactive and results-oriented, to develop new solutions and not just rely on existing standards.
Customer-oriented and communicative, making it easy for you to respond to customer needs.
Confident and proactive in successfully implementing projects.

Experience

Several years of practical experience in backend development with Java and Spring Boot.
Versatile knowledge and experience in working with Apache Solr and/or Elasticsearch.
Knowledge of at least initial experience with semantic search and LLM-based methods, especially Retrieval-Augmented Generation (RAG).
Very good knowledge and relevant experience with agile methodologies, e.g., Scrum, Kanban.