Senior Staff Engineer (UniVerse PICK Developer)

Requirements Experience : 7.5+ years Hands-on experience with Rocket UniVerse, UniData, jBASE, D3, or other PICK/MultiValue database and application environments. Strong understanding of MultiValue database concepts, data structures, file systems, dictionaries, and attribute definitions. Working knowledge of PICK/MultiValue query languages such as RetrieVe or AQL. Experience developing, maintaining, and troubleshooting application logic in a MultiValue environment. Good understanding of SQL Server and experience working with the SQL layer alongside UniVerse. Familiarity with ERP or distribution-system workflows, particularly Order Management, Inventory, Purchasing, and Reporting. Ability to troubleshoot complex database-layer issues and resolve critical production defects. Strong analytical, debugging, problem-solving, and communication skills. Ability to collaborate with .NET developers and cross-functional technical teams. Direct experience with Rocket UniVerse would be highly preferred. Exposure to VB.NET or C# .NET, particularly in presentation or application-layer development, would be an advantage. Experience with Win32 desktop client applications would be beneficial. Knowledge of the wholesale distribution domain would be an added advantage. Experience migrating PICK/MultiValue data to relational databases or modern data platforms would be preferred. Responsibilities Develop, maintain, and enhance application logic within the Rocket UniVerse environment. Manage and support database-layer development across business modules, including Order Management, Inventory, Purchasing, and Reporting. Work with Rocket UniVerse and other PICK/MultiValue database platforms to maintain core data structures and business logic. Troubleshoot and resolve high-priority defects, production issues, and escalations originating from the UniVerse data layer. Work with MultiValue data structures, file definitions, dictionaries, and attribute configurations. Develop and execute queries using PICK/MultiValue query languages such as RetrieVe or AQL. Collaborate with .NET developers to investigate and resolve end-to-end application and integration issues. Support SQL Server integration and work with the SQL layer alongside UniVerse applications. Document database structures, business rules, application logic, and integration patterns to support knowledge transfer. Contribute to application enhancements, database optimization, and ongoing maintenance activities. Support data migration initiatives from PICK/MultiValue platforms to relational or modern data platforms, where required. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.