Team Lead - Technical Support

Posted 2025-04-22
Remote, USA Full-time Immediate Start

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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