Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Lead the development of GenAI-powered product experiences and shared AI platform infrastructure, including RAG pipelines and conversational agents. Own the end-to-end production lifecycle, including observability, monitoring, and on-call rotation for AI systems.
Build and modernize iHerb's business-critical product catalog across the full stack, including backend services and React frontend. Responsibilities include end-to-end feature delivery, AI-assisted development, and owning production observability and incident response.
Own the end-to-end technical strategy for iHerb's AI Platform and GenAI product experiences, including the shared infrastructure and user-facing AI layers. Lead the design of retrieval infrastructure, model lifecycles, and evaluation frameworks while mentoring senior engineers.
Own the end-to-end technical strategy and architecture for iHerb's global iOS and Android mobile platforms. Lead the mobile modernization effort and establish AI-driven SDLC standards to improve engineering velocity and quality.
Own the end-to-end technical strategy and architecture for iHerb's product catalog platform, leading modernization efforts and defining service boundaries. Set the AI-native engineering bar and mentor senior engineers to ensure scalable, high-quality software delivery.
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Develop, implement, and maintain scalable RPA solutions using UiPath with a focus on identity and user access control. Partner with business units to gather requirements, design workflows, and provide support for 24/7 operations.
Design and operate scalable batch and streaming data pipelines to power analytics and operational workflows. Develop curated data models and implement quality frameworks to ensure reliable, well-governed data access for internal stakeholders.
The role involves acquiring and preparing data sets to develop and scale operational AI models for strategic customers. You will also drive best practices for data integrity and contribute to thought leadership within the industry.
The role involves designing and implementing code for Azure Hyperscale Networking features to improve reliability and performance. Additionally, the engineer will act as a Designated Responsible Individual (DRI) to monitor and restore system services during interruptions.
Lead a team of Solutions Architects in the Southeast US to design outcome-based infrastructure solutions across cloud, security, AI, and networking. Act as a player-coach by managing technical delivery and partnering with sales leadership to drive pipeline and client success.
Lead the company's data and analytics strategy by building the necessary infrastructure, tools, and high-performing teams. Partner with executive leadership to create trusted business performance views and drive informed decision-making across all functional areas.
Lead the design, training, and deployment of advanced ML and LLM systems to improve patient and provider interactions. Develop robust evaluation frameworks and infrastructure to ensure the safety and accuracy of clinical AI tools.
Design and deploy advanced ML and LLM systems to improve healthcare delivery for clinicians and patients. Define technical strategy, build robust evaluation frameworks, and manage the end-to-end lifecycle from data exploration to production monitoring.
Lead the design and scaling of automated testing frameworks for web UIs and backend microservices. Integrate automated quality gates into CI/CD pipelines to support shift-left testing practices.
Design and build scalable data pipelines, integrations, and architectures to support a modern data ecosystem. Collaborate with data scientists to operationalize machine learning models and implement MLOps standards for production-grade AI initiatives.
Lead the evolution of personalization and AI-driven experiences to enhance product discovery and customer journeys. Define the strategic roadmap and collaborate with cross-functional teams to implement generative AI and recommendation algorithms.
Partner with Account Executives to help enterprise customers modernize payment strategies and optimize performance. Design solution architectures and lead discovery sessions focused on payment gateways, processors, and global expansion.
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Provide L2/L3 application support for SAP SuccessFactors Recruiting and Onboarding modules, focusing on ticket resolution and change requests. Maintain documentation and support future migration initiatives involving SAP SuccessFactors Smart Recruiting.
Perform senior-level inpatient coding and abstracting across all primary hospital services using standardized classification systems. Ensure all cases comply with official guidelines, practice standards, and the HIMS code of ethics for accurate billing and compliance.
The candidate will own the frontend codebase end-to-end, translating design concepts into high-performance web applications. They will also integrate AI development tools and write utility scripts to optimize workflows and reduce backend dependency.
Design and build secure infrastructure for AI-assisted development, testing, and data-access security across the platform. Manage end-to-end projects from design documentation to production deployment using a security-first mindset.
Design and implement backend services and APIs for access controls, auditing tools, and identity workflows. Build integrations with cloud managed databases and develop hardened security for Linux and Mac users.
Lead a team of Solutions Architects in the Southeast US to design outcome-based infrastructure solutions across cloud, security, AI, and networking. Act as a player-coach by managing technical delivery and partnering with sales teams to drive pipeline and client success.
Design and evaluate routing policies for LLM traffic and build agentic benchmarks to measure algorithm quality. Collaborate with engineering teams to integrate software across the NVIDIA accelerated serving stack and contribute to open-source repositories.
Design and specify materials for AC/DC power equipment and maintain central office records including floor plans and capacity reports. Manage contracted maintenance vendors, develop operating standards, and oversee critical infrastructure augment projects.
Design and deploy AI sub-agents and predictive models to drive growth, monetization, and retention across the customer lifecycle. Collaborate with Product and Engineering teams to build data foundations and evaluation harnesses for production-scale ML systems.
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Design and build tools to extend the infrastructure platform and provide a self-service platform for product developers. Evangelize cloud-native patterns and foster a collaborative learning environment across the organization.
Design and build scalable backend services in Python and Go to power cyber insurance underwriting decisions. Collaborate cross-functionally to integrate statistical and machine learning models into automated risk assessment workflows.
Design and build scalable backend services in Python and Go to power cyber insurance underwriting decisions. Collaborate with data science and underwriting teams to automate risk assessment and monitoring workflows.
Design, develop, and maintain robust Android applications with a focus on high impact and user experience. Collaborate with cross-functional teams to integrate APIs and implement CI/CD pipelines while mentoring junior developers.
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