Team Lead - Technical Support

Remote, USA Full-time Posted 2025-03-08

Duration & Type: 12 months Contract with a major pharmaceutical industry client Location: Summit, NJ (Remote) Description: This is a Technical Lead role to support the ?Sales Order Inventory Allocation and Forecast Optimization? system. The application/system is deployed in Azure with MS SQL Server as back end. It is integrated with SAP via Mulesoft API?s. The application uses Machine Learning algorithms, Python and Javascript. Responsibilities: ? Responsible for various system functions, including: Incident, change, system and project management. ? Responsible for troubleshooting websites, applications, and user access issues. ? Document incident items and escalates as necessary. ? Responsible for facilitating new or enhanced change management requests and post-change validations, and schedule change controls. ? Coordinate issue resolution and validation of services restored. ? Perform application troubleshooting, and make recommendations for improvements and changes. ? Work with vendors as needed to resolve issues. ? Responsible for configuring installed software on all environments, perform fine tuning and application documentation. ? Assist in troubleshooting servers, transmissions, and firewall access issues. ? Assist with Disaster recovery testing. ? Responsible for application and infrastructure monitoring, coordinating with enterprise management and business unit on assigning and updating alerts. ? Coordinate report reprints and monitor job processing. ? May perform project management functions as either a project manager or team member. ? 24 X 7 on-Call responsibilities for various applications. ? Other duties as assigned. Required: ? Education: Bachelors degree or higher ? The primary skill set of this candidate must include Python, PL/SQL, Machine Learning, MS SQL Server or Oracle and JavaScript. ? Nice to have skills: Familiarity with Azure, Mulesoft, API Integration. ? Desired domain experience: Forecast Optimization techniques, Data Science, Sales Order Management concepts, Supply Chain For consideration, please send resume to [email protected]

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