Top Remote Software Engineer Jobs in Raleigh-Durham, NC

The Senior Software Engineer will design and develop backend systems and APIs, mentor other engineers, and resolve complex integration challenges in healthcare technology.

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

The Salesforce Technical Architect will design dashboards, develop dataflows, and establish best practices for reporting on the Salesforce platform, leading technical implementations and integrating with other applications.

The Senior Salesforce Developer will design and maintain the Salesforce platform, lead development efforts, integrate systems, and mentor junior developers. They will utilize AI tools for coding and ensure best practices in implementation and governance are followed, all while supporting the company's mission of providing accessible retirement benefits.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Own front-end development of web applications using React and TypeScript. Build reusable components, collaborate with design/backend/AI teams, integrate APIs, optimize performance and accessibility, and iterate via A/B testing and analytics.

The Product Architect designs and implements product architectures, ensuring alignment with business objectives, conducts code reviews, and promotes best practices.

Senior Salesforce Developer responsible for designing, building, and deploying scalable Salesforce solutions using Apex and LWC. Collaborate with Product, mentor junior engineers, contribute documentation, and work across frontend JavaScript and backend Apex. Participate in architecture and roadmap discussions and use engineering AI tooling to improve development workflows.

As a Senior Software Engineer at Upwave, you will build scalable backend systems, develop APIs, and engineer data pipelines while collaborating with product and data science teams.

Lead development and enhancement of mathematical optimization algorithms and APIs (LP, MIP, QP, etc.). Implement, benchmark, and document new solver features, support product releases, present at conferences, and collaborate with global teams to improve performance and numerical robustness.