Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, build, and maintain automated QA frameworks and test suites for a consumer-facing IVR and contact-center systems. Perform manual and automated testing across IVR, telephony, CTI, APIs, and UI; validate call flows, integrations, and error handling; document defects; support UAT, traceability, root-cause analysis, and continuous improvement. Collaborate with engineering teams on defect resolution, code reviews, CI/CD integration, and end-to-end quality coverage.

Lead the architecture and development of scalable Vue.js applications, reusable components, and shared design systems for internal tools. Integrate APIs, improve frontend performance, security, accessibility, testing, and deployment practices, and collaborate with backend engineers, product managers, designers, and partners. Mentor frontend developers, establish engineering standards, and translate user needs into intuitive, responsive experiences.

Lead the design, development, deployment, and monitoring of machine learning models for financial applications. Analyze structured and unstructured data, build forecasting and predictive solutions, and ensure model scalability, interpretability, fairness, and regulatory compliance. Collaborate with technical and business stakeholders, communicate insights, develop training workflows, and mentor junior data scientists while contributing to data science strategy.

Staff Engineer responsible for designing, developing, testing, and operationalizing secure, scalable API-based systems on AWS. The role requires hands-on Java development, cloud-native microservices, event-driven architectures, data pipelines, API integrations, SQL and NoSQL data management, CI/CD, monitoring, documentation, and regulatory compliance. The engineer will lead architecture efforts, collaborate across teams, manage sensitive data, and deliver commercial software across multiple projects.

The Senior Data Analyst develops data-driven solutions, troubleshoots end-to-end data issues, supports integrations and migrations, reviews deliverables for governance and accuracy, and mentors team members. The role requires advanced SQL and Microsoft SQL Server expertise, SSIS troubleshooting, Power BI reporting, data modeling, and Python or PowerShell scripting. The analyst collaborates cross-functionally, manages data service tasks, supports upgrades and testing, and occasionally provides weekend maintenance support.