Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead technical design and hands-on implementation for a large-scale enterprise migration and modernization program. Develop and review Java backend solutions, architect AWS environments, define REST APIs and event-driven services, lead data migration and integration efforts, and establish CI/CD, infrastructure as code, observability, security, and production support practices. Mentor engineers, decompose technical work, troubleshoot implementations, and collaborate with stakeholders on delivery decisions.

Design, develop, and maintain full-stack enterprise applications, integrations, APIs, microservices, cloud deployments, serverless applications, and web front ends. Collaborate with clients and technical teams, implement object-oriented design patterns, document solutions, optimize application performance, communicate technical concepts, and mentor developers. The role also requires experience with agentic AI tools, databases, modern front-end frameworks, distributed systems, and collaborative development workflows.

Leads product ownership and Agile delivery for complex client initiatives. Responsibilities include stakeholder partnership, product vision, cross-functional team leadership, project planning, milestone tracking, issue and scope management, client communications, solution design, process engineering, and change management. The role requires adapting across consulting engagements, influencing stakeholders, and delivering business and technology outcomes.

Own full-cycle technical recruiting from sourcing through offers, partnering with talent acquisition and consulting leaders to hire technology and consulting professionals. Build candidate pipelines, source passive talent, promote the company brand, qualify candidates, and deliver a strong candidate experience. Maintain accurate recruiting documentation in SmartRecruiters and support internal recruiting initiatives using modern sourcing and AI tools.

Translates business objectives into functional and technical requirements for complex enterprise solutions. Partners with architects, engineers, product teams, and stakeholders across discovery, design, integration, testing, and delivery. Performs data analysis, mapping, gap analysis, and requirements traceability; documents workflows, APIs, system interactions, and business rules. Writes Agile user stories and acceptance criteria, supports UAT and integration testing, and advises clients on scalable technology solutions.

Leads end-to-end product and digital experience design for client projects, including research, personas, journey maps, information architecture, wireframes, visual designs, prototypes, usability testing, and developer handoff. Presents design rationale to clients, mentors junior designers, manages design quality, supports client growth, advances CX methodologies, and promotes accessible, multi-channel experiences. Uses AI-powered design tools and collaborates with researchers, strategists, developers, project managers, and clients.

Designs and leads scalable AI/ML architectures for clients across cloud platforms, including data pipelines, model development, deployment, monitoring, and governance. Advises stakeholders on AI strategy, leads discovery workshops, oversees delivery, establishes AgenticOps practices, supports presales, and develops reusable AI offerings. The role also promotes responsible AI, mentors teams, and contributes to thought leadership and go-to-market initiatives.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.

Lead data strategy and delivery for clients: translate business needs into data architectures, assess and recommend data management technologies, design governance and quality frameworks, guide integrations and real-time data solutions, mentor teams, and support business development and solutioning.