Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Build and maintain a production-grade full-stack data self-service platform using React, TypeScript, Python, APIs, Kafka, and Snowflake. Develop frontend and backend services, data models, caching, observability, testing, CI/CD, monitoring, and infrastructure automation. Support data quality monitoring, alerts, semantic-layer generation, and AI-powered analytics capabilities. Own architecture through deployment, apply scalable engineering practices, integrate cloud and data technologies, and mentor developers.

The Software Engineer will design, develop, and maintain backend APIs and services, oversee API landscape, and collaborate on B2B solutions for enterprise clients, ensuring alignment with product strategy.

Lead software engineering teams through Agile development, including architecture, design, coding, testing, DevOps, delivery, and mentoring. Build scalable Java applications and services using SOA, APIs, microservices, containerized deployments, enterprise messaging, relational databases, and modern Spring frameworks. Establish engineering standards for security, automation, testing, and maintainable code while partnering with product owners to deliver customer-focused solutions.

Own software development projects from design through deployment and support. Build scalable, maintainable, observable systems; conduct code reviews; troubleshoot complex issues; collaborate with product, platform, and stakeholder teams; contribute to architecture and technology roadmaps; and deliver high-quality solutions on schedule.

Build and deploy data-intensive software for enterprise homebuilders, including searchable plan libraries, analytics dashboards, natural-language search, ETL pipelines, classification models, and geometric similarity tools. Work directly with customers to profile messy plan data, validate solutions, meet delivery and quality targets, and turn engagement-specific scripts into reusable tooling. Collaborate with product, technical, QA, and client teams, present progress to executives, and travel to client sites or company events up to 30% of the time.

Develop and implement Salesforce applications using Apex, Lightning Components, and Visualforce. Translate business requirements into scalable CRM solutions, integrations, and releases. Troubleshoot, test, and maintain application security. Create and support Tableau dashboards, reports, visualizations, and server or cloud deployments. Collaborate with business analysts, administrators, and technical teams while assisting with development estimates and schedules.

Develop, configure, administer, and support Salesforce applications for North Carolina Emergency Management. Responsibilities include programming with Apex, designing workflows and validation rules, managing Salesforce objects, improving operational efficiencies, participating in sprints and scrums, investigating business processes, and recommending technology-driven improvements.

Develop and maintain high-performance web frontend applications and backend services for a collaborative XR platform. Lead complex cross-team projects, shape cloud and web architecture, optimize browser and XR headset performance, and translate business requirements into product features. The role requires expertise in JavaScript, React, TypeScript, browser performance, distributed systems, real-time communication, AWS, and Electron, with preferred experience in 3D web technologies, cloud-native architecture, databases, containers, game engines, CI/CD, and observability.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.