Relationale Datenbanken Jobs

I’m ready to move from concept to code on a Java web application and I need a developer who feels at home in JavaServer Faces. The entire project will live in the Java EE ecosystem, so comfort with standard servlet containers, JDBC or JPA for data access, and front-end component libraries such as PrimeFaces or OmniFaces will be important. Here’s what I’m looking for you to handle: • Set up the JSF project structure (Maven or Gradle) • Build the core pages and managed beans that showcase best-practice navigation, validation, and session handling • Wire in persistence so the app reads/writes to a relational database (MySQL or PostgreSQL—your recommendation is welcome) • Implement basic security: login, role-based access, and CSRF protectio...

Project Overview We are developing a sophisticated "Quad-Agent" AI infrastructure designed to automate the transition of raw client data into structured, auditable compliance and impact reports. Our ecosystem relies on a seamless data loop between HubSpot (CRM), Google Gemini (AI Agents), and AppSheet (User Interface). I am looking for an AI Workflow Engineer to finalize our "System Instructions" and build the technical bridge that ensures data integrity as it moves through our four specialized AI agents. Scope of Work - Multi-Agent Orchestration: Optimize the "System Instructions" for 4 distinct Gemini-based agents (Librarian, Compliance, Communications, and Analyst) to ensure consistent data hand-offs. - HubSpot Integration: Map CRM properties to AI prompt...

Here are some important exam details: Logistics: You will have the full 90 minutes to complete the exam. No Cheat Sheet/Calculators: The exam is closed-book, and no sheets are allowed. You will not need a calculator for the exam, as most questions are conceptual or will not require much calculation. As such, calculators are not allowed. Format: The exam will consist of multiple-choice (with no partial credit), short answer, and long form answer questions. Content: Modules 1-9 (see below for module names) from the beginning of the semester up to and including this Thursday's lecture (2/19) will be included on the exam (each module will be represented approximately evenly, and we will mainly focus on the content in the HWs and lectures). Module 1: Intro to Big Data Analytics Modu...