Team Lead - Technical Support

Posted 2025-04-06
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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