Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead platform architecture design and strategy to ensure scalable, reliable cloud-native systems. Guide teams on microservices, APIs, IaC, containers, CI/CD, security, and performance optimization. Establish governance, standards, and documentation while collaborating with product, DevOps, QA, and stakeholders.

Lead development and execution of company AI strategy, architect scalable AI/ML solutions, manage an AI/ML team, oversee model development and productionization, ensure governance/compliance, partner cross-functionally to deliver measurable AI projects and optimize model performance using MLOps and LLM technologies.

Design, develop, and maintain automated test frameworks for front-end and web services. Integrate tests into CI/CD, write unit/component/integration/functional/performance tests, debug front-end and API issues, collaborate with Agile teams, and improve test coverage, release velocity, and production health. Work uses Groovy/Geb and Java/HttpClient and may involve contact center integration.

Plan and run end-to-end qualitative and quantitative user research (interviews, usability tests, surveys, field studies). Synthesize insights, create deliverables (reports, personas, journey maps), support A/B and usability testing, collaborate with PMs, designers, and engineers, and contribute to long-term research strategy to improve digital product UX.

Design and build Java/J2EE solutions using Spring and APIs; develop webservices, DB schemas, PL/SQL and transactional SQL in DB2/Oracle; collaborate with architects, developers and DevOps to implement CI/CD (Jenkins, uDeploy), ensure code quality (Sonar), perform code reviews and testing, resolve technical roadblocks, and drive process improvements. Requires strong communication and teamwork.

Lead design and delivery of microservices-based backend systems, define architecture and standards, mentor engineers, drive cloud-native CI/CD and observability, ensure scalability, resilience, data strategy, and align technical solutions with business goals.

Lead end-to-end UX and UI design for web and mobile products: conduct user research and testing, create wireframes, prototypes, and high-fidelity designs, maintain design systems and accessibility (WCAG), collaborate with product and engineering, present to stakeholders, and mentor junior designers to ensure accurate implementation and user-centered outcomes.

Design, build, and deploy production-grade ML and AI systems end-to-end, combining classical ML, deep learning, and LLM/agentic integrations. Implement MLOps, monitoring, CI/CD, model serving, vector search/RAG pipelines, and scalable APIs; mentor engineers and drive engineering best practices.

Lead and oversee end-to-end program delivery, including strategy, budgeting, risk management, team leadership, stakeholder communication, performance measurement, and continuous improvement to deliver complex projects.

Lead and mentor a team of React developers, drive front-end architecture and best practices, implement scalable React applications, collaborate with designers and backend engineers, ensure high-quality tested performant code, conduct code reviews, and promote new technologies and process improvements.