Top Remote Software Engineer Jobs in Raleigh-Durham, NC

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

Lead end-to-end technical strategy and modernization of iHerb's product catalog platform. Define architecture, data models, APIs, and service boundaries; write production code; drive cross-team technical decisions, mentorship, and AI-driven SDLC standards. Coordinate multi-team efforts, ensure engineering quality, and represent engineering across product, data science, security, and infrastructure.

The Sr. Solutions Consultant will lead post-sales implementation of data center automation initiatives, including design, deployment, and integration of VMware solutions and automation technologies.

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.

Design, build, and operate shared backend services and APIs. Own full SDLC, define service boundaries and data models, ensure scalability and reuse, apply DDD and systems thinking, and use AI-assisted tools to accelerate development while maintaining maintainability.

The Backend Engineer will design and maintain scalable backend services, develop APIs, optimize data storage, and ensure system performance and reliability, collaborating with various teams.

Design and develop scalable backend systems for SaaS applications, mentor engineers, and lead projects while collaborating with cross-functional teams.

The Lead Software Solutions Architect designs cloud-native solutions, guides technical decisions, mentors teams, and drives innovation while ensuring quality and scalability.

Lead end-to-end deployments of AI agents into customer web apps, debug DOM/rendering issues, build UI automation with Playwright/Puppeteer/CDP, tune AI orchestration and auth handling, partner with customer engineering, and codify repeatable deployment playbooks and tooling.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.