Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead design and development of scalable, secure enterprise Java applications. Implement REST APIs and Spring Boot microservices, apply core Java, multithreading, OOP, and architectural best practices. Work with Spring/Hibernate and Oracle PL/SQL in an Agile, distributed team; ensure security, high availability, and strong stakeholder communication.

Support the Principal Consultant by gathering and analyzing data, developing capability assessments and financial analyses, preparing presentations and roadmaps, coordinating project milestones, and delivering data-driven recommendations to integrate findings with technical and business teams.

Lead architecture and development of a high-performance frontend framework using Vue.js, Spring MVC and Thymeleaf. Implement SSR/CSR hybrid rendering, optimize frontend performance (lazy loading, tree shaking, prefetching, edge caching), architect the BFF layer with Spring Boot microservices on GCP, collaborate with backend teams, and mentor frontend engineers to drive technical excellence and scalable deployments.

Develop and maintain Rust-based, cloud-native services for high-performance trading systems. Build secure, scalable, resilient features, perform profiling and performance tuning, apply CI/CD and Agile practices, mentor junior engineers, and support pricing, order management, simulations, monitoring, and integrations.

Lead architecture, design, and implementation of scalable, high-performance Angular front-end applications. Collaborate with Product, Design, Backend, and QA in Agile teams; write code, drive reviews, testing, and performance optimization; mentor junior engineers and align work to technical strategy.

Design, develop, fine-tune, and optimize generative AI models (NLP and other architectures); integrate and deploy models to production; collaborate with cross-functional teams, troubleshoot implementations, document models, and communicate technical concepts to non-technical stakeholders.

Lead and oversee end-to-end program lifecycle: develop strategies, manage budgets and risks, build and lead teams, engage stakeholders, track KPIs, and drive continuous improvement to deliver complex projects.

Lead and architect end-to-end AI/ML and large-scale data solutions for investment banking and equity markets. Design data pipelines, model development and deployment, data mapping/integration, and front-end visualization. Drive data governance, ensure scalability and accuracy, mentor teams, and align cross-functional stakeholders to business goals.

Lead and deliver end-to-end AI/ML and data engineering solutions for investment banking and equity markets. Architect scalable data ecosystems, drive data integration and governance, mentor teams, collaborate with stakeholders, and enable visualization and front-end experiences to support business goals.

Design and deliver advanced data visualizations and dashboards tailored to audience (senior management vs analysts). Choose optimal chart types, apply best-in-class UX, visualize multi-dimensional data, and apply statistics and financial modeling. Execution/implementation experience is a plus.