Top Tech Jobs & Startup Jobs in Charlotte, NC

Support recruiting operations by posting jobs, tracking candidate status, scheduling and coordinating interviews, collecting feedback, managing onboarding documents and background check results, and improving the candidate experience.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.

Lead and manage creative workstreams, produce and review design deliverables (branding, comps, style guides, layouts), contribute to information architecture and content structures, coordinate cross-functional and offshore resources, and ensure design solutions are technically feasible and transferable to development teams.

Lead front-end architecture and a team to design, develop, and maintain scalable React/Next.js applications. Architect reusable components, enforce coding standards, mentor developers, write and drive unit/integration/e2e tests (Jest, RTL), optimize performance, troubleshoot production issues, and collaborate with designers, product, and backend teams on technical roadmap and estimations.

Lead QA for API testing: design and execute RESTful API test cases (payment initiation/status), develop and maintain Pytest automation in Python, use Postman and Git, integrate tests into CI/CD, document results, identify and track defects, and collaborate with development and product teams to resolve issues.

Lead design and implementation of scalable full-stack web applications using Vue.js front-end and .NET back-end. Provide architecture, hands-on development, mentorship, CI/CD and testing, collaborate with product and UX, optimize databases and ensure performance, security, and maintainability.

Gather and document analytics business requirements, conduct needs assessments, translate requirements into user stories, collaborate with data engineers and scientists, create documentation and data dictionaries, participate in agile sprints, support QA and testing, perform exploratory data analysis, build reports and dashboards, monitor analytics solution performance, and evaluate new analytics tools.

Lead creative vision and execution for brand and marketing projects, manage creative teams or contractors, oversee design strategy, and ensure deliverables meet quality and timeline expectations.

Design, deploy, and optimize cloud-native ML systems on AWS, integrate foundation models (Bedrock/Anthropic), build and monitor SageMaker pipelines and data pipelines, detect drift, extend ML infra and libraries, and collaborate cross-functionally to deliver secure, cost-efficient production ML services.

Manage and optimize Google Tag Manager implementations, create custom tagging using JavaScript and data layers, troubleshoot tracking issues, design event and e-commerce tracking and consent management, ensure GA4 alignment, and maintain documentation and best practices.