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.

Develop and deliver scalable Salesforce solutions using Apex, Lightning Web Components, Visualforce, Flow, and OmniStudio. Responsibilities include requirements analysis, integrations, testing, deployment, debugging, code reviews, source control, and full software development lifecycle participation. The role also provides technical mentorship, collaborates with cross-functional teams, and supports public-sector mission applications.

Paid, remote 10-week internship supporting software feature development, testing, debugging, code reviews, documentation, API work, deployment pipelines, and sprint activities. Interns collaborate with Engineering, Product, and Design teams while gaining exposure to frontend, backend, cloud infrastructure, DevOps, and platform engineering. The program runs June 7 through August 13, 2027, requires full-time U.S. work authorization and residency, and includes a two-day in-person experience at Amplify headquarters in Brooklyn.

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.