Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, develop, test, and support scalable batch and real-time data pipelines. Partner across teams to define requirements, implement data governance, automate monitoring, troubleshoot performance, and mentor peers while productionalizing big data solutions on cloud platforms.

Design, build, and operate cloud foundation platform services with high availability, security, and compliance. Lead technical strategy, implement CI/CD, orchestration, monitoring, and automation. Collaborate cross-functionally, support development teams, manage vendor relationships, and ensure systems meet regulatory and information security requirements.

Lead design, configuration, testing, and production support for retail systems (POS). Define requirements and user stories, manage integrations and data conversion, build/execute test plans, drive root-cause analysis and process improvements, and maintain documentation and training.

Define product direction and KPIs for Transportation Management solutions. Translate needs into epics/user stories with acceptance criteria and non-functional requirements. Partner with design and engineering, drive Agile delivery, remove blockers, and measure post-launch outcomes. Support integrations with ERP/planning systems, reporting tools, and data pipelines to ensure reliable data and analytics.

Lead design, configure, test, and support retail POS solutions. Define requirements, manage integrations and data conversion, execute testing and reporting, and provide 24x7 production support, root-cause analysis, documentation, and training.

Design, build, and operate cloud platform solutions supporting Starbucks Engineering Platform. Troubleshoot and support development teams, contribute to CI/CD, infrastructure, monitoring, security, and automation. Collaborate cross-functionally, research tools, and maintain compliant, reliable systems while participating in Agile and operational support.

Build and apply statistical and machine learning models to inform business decisions, translate ambiguous problems into data solutions, operationalize models and pipelines, partner with cross-functional stakeholders, and mentor peers to drive adoption and measurable outcomes.

Partner with cross-functional teams to extract and prepare data, build and improve data science models and pipelines, create dashboards and visualizations, and translate model outputs into actionable business recommendations.

Define product direction and metrics, translate business needs into epics and user stories, partner with design and engineering to deliver features via Agile practices, and measure post-launch performance. Focus on supply and demand planning, integrations with planning and ERP systems, data validation, and configuring planning platforms to improve supply chain outcomes.

Own end-to-end product outcomes for supply chain planning products. Partner with stakeholders, design, and engineering to define problems, set KPIs, write requirements, prioritize roadmaps, lead feature delivery, measure results, and iterate. Ensure integrations with planning platforms and ERPs and support data validation and pipeline work.