Top Remote Software Engineer Jobs in Charlotte, NC

Own end-to-end delivery of complex software features for a virtual care platform. Design scalable systems, build AI-powered agents and workflows, enhance reliable mobile and web experiences, and translate clinical and user needs into technical solutions. Collaborate with product managers, designers, and clinical staff while focusing on patient impact, product quality, and engineering efficiency.

Build and maintain clean, user-friendly React Native screens and components for iOS and Android. Implement UI/UX from provided designs, integrate APIs, collaborate with backend and AI teams, fix bugs, and keep the codebase organized.

Develops, tests, deploys, and supports major software features and services. The role translates product requirements into maintainable technical solutions, makes design and performance trade-offs, performs root-cause analysis, conducts code reviews, improves development and deployment practices, and mentors newer engineers. The position requires collaboration across engineering and product teams and includes working with Java, SQL, XML, web technologies, JavaScript, and Oracle databases.

Build and operate Numeral’s public API, MCP server, billing and ERP integrations, infrastructure, data pipelines, and platform services. Own projects from design through production, improve observability and reliability, automate deployment workflows, and contribute to architecture decisions. The role requires strong backend engineering, distributed systems knowledge, cloud and container experience, and a customer-focused approach to dependable financial automation.

Develop, configure, monitor, troubleshoot, and support healthcare data interfaces connecting EHR systems to health information exchange solutions. Responsibilities include HL7v2, FHIR, and C-CDA integration, onboarding data sources, interface migrations, SQL-based data analysis, documentation, QA, system upgrades, performance monitoring, and customer/vendor coordination.

Build and operate Numeral’s platform services, public API, MCP server, ERP and billing integrations, infrastructure, data pipelines, and developer interfaces. Own projects from technical design through production, improve observability and reliability, automate deployment workflows, and support scalable background jobs and APIs. Collaborate with product and engineering teams while applying distributed-systems principles and maintaining accurate, dependable financial-data workflows.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Lead and grow an engineering team building scalable AI-native insurance products. Responsibilities include hiring, mentoring, performance management, technical direction, architecture guidance, design reviews, and delivery of reliable production systems. Partner with Product, Design, Data Science, and customer-facing teams to execute ambiguous initiatives. Use AI-native development workflows to increase velocity while maintaining high standards for security, correctness, reliability, and production readiness.

Lead development of scalable software solutions across frontend and backend systems. Build React and TypeScript interfaces, C# .NET and Node.js services, Terraform-managed AWS infrastructure, and optimized MSSQL schemas and queries. Collaborate on requirements and roadmaps while promoting code quality, testing, RESTful architecture, and CI/CD best practices. The role also uses generative AI tools and coding agents, with preferred experience in Docker, Kubernetes, serverless computing, and automated testing.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.