Top Remote Software Engineer Jobs in Greensboro, NC

The Senior Mobile Engineer will lead mobile app projects, collaborate with teams, and enhance the Babylist Health experience. Responsibilities include building features, improving performance, and ensuring code quality.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

The VP of Engineering will lead the engineering organization, scale operations, drive AI integration, ensure delivery excellence, and foster collaboration with product and technology teams.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

The Tech Lead will own major features of the Android app, maintain reliability metrics, collaborate with teams, and ensure high quality of releases. Requires strong Kotlin expertise and user-centric problem solving.

Design, develop, test, and deploy Java/J2EE applications and integrations. Lead implementation planning, gather and specify requirements, mentor junior developers, resolve defects, support production (on-call), and ensure database and SOX-compliant process documentation.

The Project Engineer manages software development projects, coordinates teams, communicates with clients, and provides training, ensuring customer satisfaction and system efficiency.

Build and deliver end-to-end features across backend APIs (NestJS/TypeScript) and frontend interfaces (React/TypeScript), integrate third-party services, own production services (on-call, monitoring, incident response with Datadog), contribute to architecture, and mentor other engineers. Work across web and React Native mobile apps, and help scale integrations and event-driven systems.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.