Top Remote Software Engineer Jobs in Charlotte, NC

Design, develop, test, audit, and deploy smart contracts and dApps. Integrate wallets, blockchain APIs, and Web3 infrastructure. Optimize for performance and gas efficiency, collaborate with cross-functional teams, monitor production systems, research emerging protocols, and document technical specifications.

Serve as the company’s first technical hire and founding engineer for Larder, a remote-first professional video networking application. The role requires strong software development expertise and proficiency with AI coding tools such as Claude Code. The engineer will help build the product from its earliest technical foundations and shape the platform’s architecture and implementation.

Build and scale backend features for a B2B SaaS marketing attribution platform. Design and implement server-side functionality, troubleshoot architecture, work across the full development lifecycle, and ensure clean, secure, and scalable code in a collaborative remote team.

Develops and supports Oracle JD Edwards EnterpriseOne applications across manufacturing business functions. Responsibilities include gathering requirements, designing and modifying reports, tables, views, forms, business functions, integrations, orchestrations, and notifications. The role performs testing, troubleshooting, technical documentation, process analysis, and application support in an E1 9.2 environment.

Develop and ship gameplay features, UI, and systems for the open-source Threadbare game using an existing codebase. Responsibilities include debugging, performance and stability improvements, testing, code reviews, planning, tooling, documentation, and collaboration with design and art. The role also involves reviewing learner code, providing written mentorship, supporting educational tooling, and participating in occasional community events.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Lead the engineering team responsible for Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer deployments, and enterprise support. Partner across engineering, sales, field engineering, and support; prioritize roadmap tradeoffs; maintain operational health; and grow the team through hiring and onboarding. The role requires technical leadership across Kubernetes and AWS, customer-facing collaboration, production on-call experience, and software delivery in private cloud, on-premises, BYOC, or managed single-tenant environments.

Develop and maintain software using C#, .NET, web technologies, SQL Server, and AWS. Participate in the full SDLC and Agile Scrum processes, including design, development, unit testing, defect resolution, backlog refinement, and collaboration with product and QA teams. Build solutions using Microsoft-stack technologies, optimize databases and stored procedures, and support cloud-based application delivery.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.