Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.

Develop and maintain scalable full-stack applications using React.js, NestJS, TypeScript, Node.js, Firebase, and GCP. Design REST APIs, microservices, NoSQL data models, cloud-native solutions, and CI/CD automation. Responsibilities include architecture, implementation, deployment, performance optimization, security, troubleshooting, code reviews, production support, and technical leadership. The engineer will collaborate with product, design, and engineering teams while mentoring developers and improving architecture and development practices.

Build full-stack prospect demo solutions for ecommerce search and discovery products. Develop JavaScript data collection tools, front-end integrations, ETL workflows, dashboards, alerts, and open-source UI libraries and REST clients. Validate prospect data, support integrations, answer technical questions, collaborate with sales and product teams, and contribute to automated testing, code reviews, and demo infrastructure.

Build and scale SafetyWing’s global social safety net products. Develop clean, scalable backend services using Java and Kotlin, contribute to frontend applications with TypeScript, React, and Next.js, and participate across requirements gathering, system design, implementation, testing, deployment, and maintenance. Collaborate closely with product and technology teams while helping shape technical processes and company direction.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Build and maintain reliable, secure, scalable backend systems for Lithic’s product platform. Own projects end to end across API key management, reliability, audit logging, search, and API infrastructure. Improve system reliability, reduce technical debt, participate in on-call rotations, and lead team process improvements while collaborating asynchronously across time zones.

Provide PeopleSoft application development and batch scheduling support: design, build, and monitor batch schedules and integrations using Process Scheduler and third-party schedulers; develop customizations, reports, interfaces with PeopleTools and PeopleSoft HCM 9.2; use SQL/Oracle; create runbooks, perform unit/system testing, troubleshoot integrations and connectivity, and support PeopleSoft security and QA/performance testing.

Provide technical support for PeopleSoft HCM data conversion and migration: data mapping, mock conversions, cleansing, integrity verification, archival, testing (unit/integration/regression/UAT), PeopleTools development, SQL/Oracle reporting, production cutover, and PeopleSoft application research and design.

Design, develop, and maintain PeopleSoft applications and integrations using PeopleTools. Build reports, support PeopleSoft Financials (GL, AP, AR, Commitment Control), perform upgrades/patches, manage data migrations, write SQL for analysis, troubleshoot performance/integration issues, and collaborate with functional and testing teams to deliver technical solutions.

Build and operate highly scalable storage infrastructure supporting petabyte-scale imagery data. Responsibilities include developing backend services and APIs, managing object storage and metadata indexing, tuning Elasticsearch, improving disaster recovery, monitoring performance, responding to incidents, contributing to architecture and roadmaps, and advising engineers. The role requires strong production software engineering experience with Go or Python, cloud-native systems, relational and non-relational databases, and highly available services.

Design, build, and maintain scalable AI systems and backend products. Responsibilities include backend development, front-end integration, database performance optimization, data security, debugging, unit testing, code reviews, and building, releasing, and maintaining containerized solutions.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.