The SaaS Tools and Innovation (TINNO) team utilizes state-of-the-art technology stacks, advanced data analytics, and machine learning, to advance Oracle’s internal tools. Specifically, our role is to further Oracle’s goals through proactive, engaged interactions with customers and through providing key insights to Oracle, her partners, and her customers.

 

We are seeking a highly skilled and motivated Full Stack Engineer with expertise in Java, Spring Boot, and Node.js to join our dynamic development team. The ideal candidate will have strong experience working across the full stack, from front-end development to back-end services, and be well-versed in integrating Artificial Intelligence (AI) and Machine Learning (ML) solutions into production systems. This role offers the opportunity to work on innovative projects and contribute to developing cutting-edge applications with AI/ML components.

 

Key Responsibilities:

Full Stack Development:  Design, develop, and maintain scalable, secure, and high-performance web applications using Java, Spring Boot, Node.js, and modern front-end technologies. Design software that meets requirements, is performant, stable, and of high quality, and that is built for the future. Researching access methods and application programming interfaces to existing systems that contain relevant data. Implementing interfaces and tools to systems to extract needed data and to inject the data into a data warehouse. Implementing algorithms to summarize and classify the data into meaningful results. Implementing user interfaces to display the resulting data in a clean, easily understood interface. Testing the application, both via automated unit-tests and manually. Maintain practices and key information in a wiki and in Jira. Research available data sources for customer-related data. Determine factors relevant to customer success. Research cloud software to understand best practices in this area Work within Email, Slack, and meetings to research and analyze potential systems for access to needed data. Potentially enter enhancements requests for systems in Jira. Write design ideas and proposals and present them to the team for consideration. Implement data capture, manipulation, and storage mechanisms primarily in Java, and shell scripting. Implement internal, web-based applications in HTML, JavaScript, React, and other languages/tools. Utilize Oracle SaaS products as required. Test resulting implementations with a variety of possible scenarios. Work within standards, acceptable practices, and other requirements of Oracle Corporation and of the SaaS Development organization AI/ML Integration: Collaborate with data scientists and machine learning engineers to integrate AI/ML models into production applications, ensuring optimal performance and scalability. System Architecture: Participate in defining the architecture and design of systems, including back-end services and front-end interfaces. Cloud & DevOps: Work with cloud platforms and DevOps tools to automate and streamline deployment processes. Leverage containerization technologies such as Docker and Kubernetes for efficient deployments. API Development: Design and implement RESTful APIs for smooth interaction between front-end and back-end systems. Database Management: Develop and maintain databases with optimized data access patterns for efficient queries and storage. Collaboration & Agile Development: Work closely with cross-functional teams including UX/UI designers, product managers, and QA engineers, following Agile methodologies to deliver high-quality software in sprints. Performance Optimization: Continuously monitor and improve application performance, focusing on speed, scalability, and security. Documentation: Produce clear technical documentation for systems, processes, and workflows to ensure maintainability.

 

Technical Knowledge

9+ years of industry experience. 7+ years of experience in JAVA and Various J2EE Technologies – SpringBoot, REST, SOAP, JPA, Hibernate, JDBC, JUnit, and XML. 5+ years of extensive experience in architecture, design and development of distributed systems. AI/ML experience: Familiarity with integrating machine learning models using Python or Java-based libraries (such as TensorFlow, Keras, or Scikit-learn) into Java/Node.js applications. Must have an excellent understanding of: Object-Oriented analysis and design. Design Patterns. Data Structures. Error Handling. Debugging and troubleshooting code. Experience with the design of API interfaces. Should also have experience with: Git. SSO integration. Consuming RESTful web services. Node.js for backend operations and authorizations enforcement. Desired Technical Knowledge in: Kubernetes. Docker   OAuth Consuming HATEOAS/HAL style web services. WebSockets. Unit Testing. Integration Testing. Automated Testing. Code Coverage Reports. Extensive experience IDEs like IntelliJ, Eclipse, NetBeans. Hands on experience with Build and Integration tools such as Gradle, and Jenkins.

Career Level - IC4