Top Remote Software Engineer Jobs in Charlotte, NC

Designs, develops, tests, documents, deploys, and supports Salesforce solutions, with emphasis on Service Cloud. Integrates Salesforce with other applications, resolves break/fix issues, monitors platform usage and performance, maintains data security, and collaborates with technical teams and business stakeholders. The role also manages multiple projects using Agile methodologies and Salesforce engineering best practices.

Lead domain architecture for Blue Yonder/JDA solutions, translating business needs into technical roadmaps, high-level designs, integrations, and standards. Collaborate with stakeholders, enterprise architecture, partners, and development teams to ensure secure, scalable, and compliant implementations across the domain.

Develops high-quality software and AI-powered prototypes for national security missions. Responsibilities include architectural design, feature development, automated testing, backlog grooming, sprint execution, API and SDK development, integration debugging, and research involving LLMs, embeddings, and smaller trained models. The engineer independently leads focused efforts while collaborating with product and engineering teams, using modern DevSecOps and CI/CD practices.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Leads the design, development, and maintenance of complex backend software systems. Owns significant features end to end, makes architectural decisions, improves scalability and performance, ensures code quality, mentors engineers, and collaborates with cross-functional teams. Builds production-ready C# and .NET APIs within microservices and containerized environments, using cloud databases and services. Participates in code reviews, testing, debugging, and continuous improvement.

Assist in developing and maintaining cross-platform Flutter apps for Android and iOS, implement UI/UX with Flutter widgets, integrate Firebase and REST APIs, debug and optimize performance, and collaborate with the team while staying current with Flutter/Dart technologies.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Lead and grow an engineering team building agentic development systems. Set technical direction, contribute to architecture and implementation, and improve agent execution, tool use, context management, streaming, reliability, performance, and operability. Partner with Product and Design to create developer experiences while extending provider-agnostic model integrations. Coach engineers, clarify priorities, and maintain a high technical and execution standard.

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.