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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You will be responsible for planning, developing, and implementing high-quality software solutions within SAP ABAP, Fiori, and BTP projects. This role involves full-stack development, ranging from server-side system functions to the creation of user interfaces using SAP best practices.
The role involves managing Oracle Fusion Project Costing and Fixed Assets, including setup, cost collection, and accounting reconciliations. You will also support system enhancements, testing, and business process improvements for project and asset lifecycles.
The DevOps Engineer will own the reliability, security, and maintenance of cloud infrastructure, including AWS and Windows-based environments. They will collaborate with engineering and QA teams to improve automation, deployment reliability, and operational readiness.
The Technical Service Specialist is responsible for the installation, maintenance, and repair of diagnostic instruments at customer sites. They also provide technical training and support to customers and internal staff to ensure optimal instrument performance.
The specialist will manage high-volume accounts payable and receivable transactions while maintaining accurate financial records and reports. Additionally, they will serve as a primary point of contact for customers to resolve billing, order, and shipping inquiries.
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You will improve the reliability, observability, and scalability of shared infrastructure and product services while helping teams own their systems in production. This involves defining reliability targets, automating operational tasks, and facilitating incident response to ensure high availability.
The AI Engineer will collaborate with stakeholders to translate business needs into production-ready AI/ML solutions and manage data infrastructure. They are responsible for building scalable APIs, monitoring model performance, and integrating advanced techniques like Generative AI into business applications.
Design and build highly scalable backend services, distributed systems, and API infrastructure for the automation platform. Collaborate with cross-functional teams to deliver high-performance solutions and maintain high-quality code.
You will be responsible for API and system integration, as well as the development of frontend components and the implementation of AI/LLM technologies. You will work closely with the founding team to orchestrate platform services and maintain infrastructure.
The SDR will identify and contact restaurant owners to qualify leads and schedule appointments for the sales team. They are responsible for maintaining accurate records in HubSpot and meeting monthly targets for qualified meetings.
Manage client product implementations and projects while providing technical support for Financial Productivity solutions. Design, code, and deploy client-specific customizations and enhancements through technical investigations.
The Technical Architect will design and deliver mission-critical solutions while working alongside solution architects and delivery teams. Responsibilities include performing product evaluations, producing technical designs, and providing consultancy throughout the project delivery lifecycle.
You will analyze and modernize complex, business-critical IBM i applications while designing maintainable architectures and integration layers. Additionally, you will communicate directly with clients to translate requirements into technical solutions and mentor less experienced team members.
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You will develop and operate scalable GenAI and LLM solutions to automate complex administrative and testing processes. You will work hands-on throughout the entire software lifecycle, collaborating with interdisciplinary teams and clients to integrate AI into existing system landscapes.
You will develop and operate scalable GenAI and LLM solutions to automate complex administrative and testing processes. This involves working hands-on throughout the entire software lifecycle, from requirements analysis to production deployment within customer environments.
You will design and evolve robust, scalable financial infrastructure while collaborating with cross-functional teams to deliver high-value product features. You will take ownership of the full development lifecycle, from technical design and implementation to mentoring colleagues and ensuring high code quality.
You will create high-converting ad images and videos to drive revenue and engagement for international e-commerce brands. The role involves managing the end-to-end creative process from concept to execution while utilizing AI tools to scale production.
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You will be responsible for building and launching Shopify stores from scratch, including setting up products, collections, and navigation. Additionally, you will utilize AI tools to improve efficiency and provide support for urgent store issues.
Develop and coordinate BIM models for site development, utilities, and infrastructure projects using Revit. Collaborate with multidisciplinary teams to identify clashes and ensure high-quality project documentation.
You will adapt and stabilize a high-quality AA Unreal Engine 5 game for a Linux-based cloud streaming platform. This involves integrating platform SDKs, optimizing performance across CPU and GPU budgets, and building diagnostic tooling for cloud-native workflows.
The L1 Support Engineer will manage corporate equipment procurement, configuration, and maintenance while providing technical support for hardware and software issues. They are also responsible for user account administration, office access control, and maintaining accurate technical documentation.
You will own the application engineering strategy and architecture, bridging AI capabilities with reliable product experiences across backend and client platforms. Additionally, you will lead a team of senior engineers to ensure high-quality code, system stability, and effective operational foundations.
You will own the end-to-end machine learning systems, managing the lifecycle from data and training to deployment and inference. You will collaborate with research and application engineering teams to translate model capabilities into reliable, scalable production solutions.
The Technical Lead is responsible for the technical direction and execution of major products and systems, including hands-on design and coding. They will drive architecture decisions, mentor engineers, and ensure high engineering standards across the development lifecycle.
Own product areas across insurance, payments, and financial services while defining user problems and success metrics. Collaborate with engineering, design, and operations teams to launch features and drive iterative improvements based on data and feedback.
You will own the end-to-end machine learning systems, managing the lifecycle from data and training to deployment and monitoring. You will also partner with research and application teams to translate model capabilities into reliable, scalable production solutions.
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The Technical Lead will own the technical direction and execution for major products, systems, and engineering initiatives. This hands-on role involves designing scalable systems, writing code, and driving critical engineering work from conception to production.
You will own the application engineering strategy and lead a team of senior engineers to build reliable, AI-powered workflows across backend and client platforms. This role involves designing robust system architectures, establishing production foundations, and partnering with ML leadership to deliver high-quality product experiences.
You will own the end-to-end machine learning systems, managing everything from data pipelines and model training to production deployment and inference. You will collaborate with research and engineering teams to turn model capabilities into reliable, scalable, and high-performance product solutions.
You will own the end-to-end machine learning systems, managing everything from data pipelines and model training to production deployment and inference optimization. You will also collaborate with research and application teams to translate model capabilities into reliable, scalable, and high-performance product features.
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