Senior Software Engineer - Quark Publishing Platform

As a Senior Software Engineer at Quark working on the Quark Publishing Platform NextGen (QPPNextGen), your role will primarily involve integrating Azure OpenAI and other Azure services to create advanced AI-driven solutions for enterprise publishing. **Key Responsibilities:** - Architect and implement seamless integration of Azure OpenAI services with QPPNextGen's microservices-based architecture. - Ensure secure and efficient communication between Azure OpenAI and QPPNextGen components, following performance and scalability best practices. - Collaborate with Product Management to design and develop Azure OpenAI-powered features like content generation, document summarization, sentiment analysis, and data insights. - Build and expose RESTful APIs for AI capabilities within QPPNextGen. - Leverage Azure services such as Azure Functions, Azure Cognitive Services, Azure Storage, and Azure Kubernetes Service (AKS) to support AI feature development. - Apply AI/ML expertise to fine-tune models, enhance feature performance, and create customized solutions for customer requirements. - Partner with cross-functional teams to deliver scalable solutions and mentor junior developers in AI/ML technologies and Azure services. - Implement robust testing for AI/ML components, ensure compliance with ethical AI practices, and assist in creating release-specific product documentation. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6+ years of software development experience, with proficiency in Java, Spring Boot, and RESTful API design. - 2+ years of hands-on experience in AI/ML development, including familiarity with Azure OpenAI services. - Track record of integrating AI/ML models into enterprise applications and understanding of microservices architecture and cloud-based solution design. - Proficiency in Azure services like Azure Cognitive Services, Azure Functions, and AKS, along with experience in Docker and Kubernetes. - Strong problem-solving skills, analytical abilities, and expertise in Natural Language Processing (NLP) models. - Knowledge of Elasticsearch, Kafka, and certification in Azure AI or cloud technologies. Please note that the additional details of the company were not explicitly mentioned in the provided job description.,