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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The developer will architect, design, and maintain enterprise-grade web applications and distributed systems across the full engineering lifecycle. They will collaborate with cross-functional teams to deliver secure, performant, and cloud-native solutions that meet strategic business requirements.
The Python Solutions Engineer will design, build, and enhance complex enterprise-grade applications and data-intensive services. This role involves collaborating with product and infrastructure teams to translate business problems into robust, high-performance technical solutions.
Design, build, and enhance modern, user-friendly SAP Fiori applications that meet enterprise standards for performance and maintainability. Collaborate with functional consultants and UX teams to deliver responsive applications across desktop, tablet, and mobile devices.
The SAP BTP Solutions Engineer will design, build, and operate extensions and integration scenarios on SAP's Business Technology Platform. This role involves leveraging BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
The SAP Infrastructure Specialist is responsible for the architecture, installation, configuration, and performance tuning of complex SAP landscapes. This role ensures the availability, security, and compliance of mission-critical systems across on-premises, hybrid, and cloud environments.
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Design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. Act as the primary expert for diagnosing and resolving HANA performance issues across the SAP landscape.
The SAP Data Migration Engineer will design and execute large-scale data migration initiatives within SAP S/4HANA environments. This role manages the full migration lifecycle, including extraction, transformation, validation, and cutover from legacy systems.
The developer will own the full integration lifecycle, including requirements analysis, interface design, development, testing, and deployment. They will connect SAP S/4HANA and other SAP applications with various third-party and cloud-based systems.
The Power Developer will lead the end-to-end strategy, commercial structuring, and execution of utility-scale energy projects including wind, solar, storage, and natural gas. They are responsible for managing project economics, negotiating commercial agreements, and coordinating cross-functional teams to ensure successful project delivery.
Design, develop, and deploy scalable AI/ML models and Python-based inference APIs using GenAI and LLM technologies. Integrate semantic search capabilities and maintain robust, containerized pipelines to address complex healthcare business challenges.
Develop and maintain full-stack web applications by building backend services with Node.js and dynamic frontend interfaces using React and Angular. Integrate APIs and components while ensuring application security, performance, and adherence to agile development practices.
The Product Manager will own the post-order roadmap, focusing on reducing contact rates and costs while improving fan satisfaction through AI-powered self-service and internal tooling. They will streamline post-purchase communications and ticket delivery experiences to ensure clear expectations and operational efficiency.
You will design and operate scalable backend services, APIs, and data pipelines to provide context for agentic platforms. You will also own the end-to-end lifecycle of data systems, from ingestion and modeling to retrieval and serving.
The Principal Consultant will design and build data foundations by ingesting, modeling, and activating unified profiles from Salesforce and external systems. They will also lead requirements workshops, configure CRM solutions, and manage end-to-end delivery workstreams for enterprise clients.
Lead the end-to-end technical integration of AI-enabled solutions and collaborate cross-functionally to drive automation and workflow intelligence. Design and deliver scalable, high-quality enterprise software while mentoring engineering teams on best practices.
Manage the full delivery lifecycle of AI-enabled products and clinical analytical solutions, coordinating across data science, engineering, and clinical teams. Ensure all projects adhere to regulatory standards, data integrity requirements, and internal project management methodologies.
Design, develop, and maintain backend services, APIs, and automated processes while integrating artificial intelligence models into products. Manage system architecture, ensure data security, and perform deployments, monitoring, and technical documentation.
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Design and maintain scalable platform capabilities to support enterprise AI, LLM, and agentic workflows. Collaborate with cross-functional teams to integrate AI solutions into production environments while ensuring security and governance.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. Apply detailed annotation guidelines to ensure consistency and provide evidence-based rationale for evaluation decisions.
The AI Response Labeler will perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and cultural appropriateness. They are responsible for applying detailed annotation guidelines to ensure high-quality model outputs across various tasks.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. Apply detailed annotation guidelines to ensure consistency and meet daily productivity expectations.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and overall quality. Apply detailed annotation guidelines to assess content across various topics while maintaining productivity and consistency.
The Technical Service Engineer will perform maintenance, installation, and repair of advanced fertility laboratory equipment across North America. They are responsible for providing professional technical support to customers while maintaining accurate service documentation.
The AI Response Labeler will perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and cultural appropriateness. They will apply detailed annotation guidelines to ensure high-quality outputs while meeting daily productivity expectations.
The Implementation Engineer will serve as a subject matter expert, leading proof-of-concept trials and managing technical deployments for enterprise customers. They will also collaborate with internal teams to troubleshoot issues and provide guidance on product integrations and security best practices.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. Apply detailed annotation guidelines to ensure consistency while maintaining productivity standards.
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The role involves performing side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. You will apply detailed annotation guidelines to assess content in both Italian and English while maintaining high productivity and consistency.
The engineer will provide technical assistance for the design, development, and construction of power systems, including substations and renewable energy facilities. They are responsible for project completion, client relationship management, and mentoring junior team members.
You will leverage extensive datasets to identify and classify behavioral patterns of medical professionals while creating product and client-facing analytics. Additionally, you will collaborate with product managers and developers to lead data projects from ingestion to actionable recommendations.
Perform side-by-side comparisons of AI-generated responses to evaluate factual accuracy, relevance, and quality. Apply detailed annotation guidelines to assess content across various topics while maintaining high productivity and consistency.
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