Java Backend Engineer
17 hours ago
Are you ready to build end-to-end solutions that make an impact?
Your Role & Responsibilities
Develop and maintain scalable Java web applications using Quarkus or Spring Boot
Design, implement, and maintain microservice-based architectures
Ensure seamless integration between system components using Kafka
Build and manage databases with technologies such as PostgreSQL and MongoDB
Work within a Domain-Driven Design (DDD) approach to model complex systems
Deploy applications using container orchestration platforms like OpenShift or Kubernetes
Design and orchestrate business workflows using the Temporal workflow engine
Integrate backend services with AI components, including Large Language Models (LLMs), LangChain/LangGraph, and Retrieval-Augmented Generation (RAG)
Collaborate with product owners, designers, and other developers to understand requirements and deliver high-quality software
Write clean, maintainable, and well-documented code
Participate in code reviews and contribute to technical discussions and decision-making
Required Technical & Professional Expertise
A completed technical university degree in Computer Science, Software Engineering, or a related field (mandatory)
Proficiency in Java for server-side application development
Experience in building and deploying microservices and RESTful APIs using Quarkus / Spring Boot
Hands-on experience with Kafka for real-time data processing and communication
Hands-on experience with database technologies such as PostgreSQL and MongoDB
Familiarity with container orchestration tools like OpenShift and/or Kubernetes
Practical experience with Domain-Driven Design (DDD) concepts
Strong problem-solving skills and the ability to work independently or as part of a team
Excellent communication skills in English (written and verbal)
Bonus Skills (Nice to Have)
Experience with modern Python ecosystems.
Understanding of LLM concepts and practical experience integrating them into enterprise applications.
Familiarity with LangChain / LangGraph frameworks used to build AI-driven workflows.
Experience designing or implementing RAG architectures to enhance AI-powered data retrieval.
Your application has been successfully submitted
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