Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Build and refine front-end experiences for web and mobile: onboarding, checkout, gallery features, design system and enterprise dashboard. Collaborate closely with designers and PMs, ship fast, maintain aesthetic quality, and iterate with user feedback using React, Next.js and TypeScript.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Own major product surfaces across Aleph’s FP&A platform, leading features from customer discovery through launch and iteration. Build performant spreadsheet-grade interfaces over large financial datasets, design robust data models and APIs, develop AI-native features involving orchestration, tool calls, and retrieval, and improve engineering standards through high-quality code and reviews. The role requires strong full-stack fundamentals, customer engagement, technical leadership, pragmatism, and experience building complex B2B products.

Lead full-stack growth engineering across eligibility, identity, access, client configuration, and reporting systems. Build Python-based GraphQL and REST APIs, React and React Native experiences, scalable database systems, and secure HIPAA- and GDPR-compliant solutions. Own ambiguous cross-domain technical projects, write RFCs, coordinate roadmap delivery, mentor engineers, contribute to engineering strategy, and participate in on-call operations and remediation.

Build and maintain scalable microservices, APIs, and responsive React/TypeScript UIs for a modular security-operations platform. Integrate sensors and devices, implement real-time features (WebSockets, Kafka), design data models, participate in CI/CD, code reviews, sprint planning, and optimize full-stack features in a DevOps environment.

Build and operate accessible, high-performance member-facing web applications using a front-end-first full-stack approach. Contribute to APIs, backend services, data flows, integrations, frontend architecture, testing, observability, and performance improvements. Own projects from concept through production, collaborate with Product, Design, Data, and Clinical teams, improve developer experience, support AI-assisted coding practices, participate in technical reviews and incident follow-up, and mentor engineers.