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 Lead Business Analyst will partner with stakeholders to drive data-driven decision-making and translate complex business needs into scalable Power BI solutions. They will also lead requirements management, facilitate cross-functional collaboration, and provide mentorship to junior team members.
You will analyze requirements to develop technical and functional solutions while supporting the transformation of SAP landscapes. Additionally, you will optimize processes across the energy industry value chain and collaborate closely with cross-functional teams.
You will lead the development of scalable, secure, and highly available platforms while driving operational consistency across the engineering team. Additionally, you will mentor engineers and champion the use of AI tools to improve system architecture and workflows.
The role involves integrating and operating high-performance NFS-based storage for GPU-accelerated AI platforms within Kubernetes environments. You will be responsible for automating storage provisioning, tuning data paths for high throughput, and ensuring system reliability through observability and infrastructure-as-code.
You will be responsible for the design, installation, upgrade, and patching of PeopleSoft environments, including PeopleTools and mid-tier components. Additionally, you will lead teams on larger projects, manage database administration, and ensure the performance and availability of PeopleSoft systems.
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You will design, develop, and maintain features across web and mobile applications while taking end-to-end ownership of technical initiatives. Additionally, you will mentor other engineers, contribute to engineering culture, and integrate AI tools to improve productivity and code quality.
Design and develop scalable backend services using Python and FastAPI while maintaining frontend applications with Vue.js and Vuetify. Collaborate with stakeholders in a SaaS environment to ensure application performance, reliability, and continuous improvement.
The engineer will install and maintain bulk LPG tanks and assets at customer sites while providing emergency response services. The role involves traveling to rural customer locations and participating in a standby rota for out-of-hours emergencies.
You will assist customers with product inquiries via email, chat, and video calls while maintaining documentation and investigating technical issues. Additionally, you will build apps, agents, and automations for customers and contribute to small product improvements.
The Data Solutions Architect will lead the design and deployment of enterprise data architectures within the Unified Data Platform on Azure Databricks. They will collaborate with functional SMEs to integrate heterogeneous data sources and implement robust governance frameworks to support advanced analytics and AI-driven workflows.
You will design, build, and maintain high-performance, scalable .NET applications while owning features from architectural design to deployment. You will also collaborate with cross-functional teams to ensure system quality, observability, and adherence to clean coding standards.
You will design, develop, and maintain modern full-stack applications while contributing to architectural decisions and platform reliability. The role involves collaborating with cross-functional teams to deliver end-to-end features and troubleshooting production issues.
The Medical Coder is responsible for encoding adverse events, medical history, and medications using industry-standard dictionaries like MedDRA and WHOdrug. They collaborate with clinical and data management teams to ensure coding consistency and timely processing according to project timelines.
The Head of Global CRM will lead a multi-functional team to design and execute global client journeys while managing the CRM technology roadmap. They are responsible for optimizing CRM KPIs, ensuring data security, and driving strategic initiatives to elevate the luxury client experience.
Design, develop, and maintain backend services, APIs, and integration components using .NET technologies. Collaborate with cross-functional teams to deliver scalable solutions and contribute to Angular-based UI development.
Develop and maintain backend services, APIs, and integration components using .NET technologies while following established coding standards. Collaborate with cross-functional teams to deliver end-to-end business capabilities and troubleshoot issues across applications and databases.
Lead the design, development, and deployment of robust .NET applications within a cloud-based Azure environment. Mentor team members while driving engineering standards and CI/CD best practices across the platform.
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Lead the design, development, and continuous improvement of backend services using Java and Spring Boot within a microservices architecture. Collaborate with cross-functional teams to translate business requirements into scalable, reliable, and secure technical solutions.
You will lead the design, development, and continuous improvement of modern React-based frontend applications while defining architectural standards. Additionally, you will mentor team members, conduct code reviews, and collaborate with cross-functional teams to translate complex business requirements into scalable solutions.
The role involves leading the architectural design and optimization of ML algorithm execution platforms for edge-to-cloud deployment. You will also drive cross-platform compatibility decisions, mentor the team, and manage CI/CD pipelines with automated hardware testing.
You will improve the architecture of existing payment plugins and guide AI agents in creating new, maintainable structures. Additionally, you will lead code reviews, set technical standards, and mentor intermediate engineers to foster technical growth within the CMS squad.
Design, develop, and maintain high-performance backend services in Golang while optimizing distributed systems that process trillions of requests daily. Collaborate with cross-functional teams including data scientists and malware analysts to build scalable fraud prevention technologies.
Develop and maintain scalable, secure, and responsive web applications using React.js, Java, and Spring Boot. Manage cloud infrastructure on AWS/Azure while implementing CI/CD pipelines and ensuring high code quality through rigorous testing and security practices.
The Senior Application Engineer will design, develop, and maintain scalable applications and data solutions to support healthcare revenue cycle operations. They will collaborate with stakeholders to translate requirements into technical solutions while ensuring data accuracy and system integration across the organization.
Lead the Finance and ERP integration practice by setting technical direction and managing a team of engineers. Balance hands-on development of complex integrations and microservices with coaching and career development for team members.
The Support Engineer will serve as the primary technical contact for diagnosing and resolving issues within Business AI Cloud environments and agentic layers. They are responsible for monitoring AI agent performance, managing configurations, and documenting recurring issues to improve support processes.
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The Senior Product Applications Engineer acts as a technical expert to support sales teams by delivering product demonstrations, training, and feasibility assessments. They partner with R&D and product management to translate customer requirements into actionable, tailored technical solutions.
The engineer will design, develop, and maintain high-quality technical solutions for distributed systems and infrastructure at scale. They will also provide technical leadership, mentor team members, and participate in on-call rotations to ensure system reliability.
You will take end-to-end ownership of AI agent features, from client communication and scoping to shipping and monitoring in production. You will work across the full stack to build integrations, optimize agent performance, and iterate on product functionality.
Design and deploy autonomous AI agents capable of perception, reasoning, and integration with enterprise systems. Collaborate with product managers and data scientists to align agent capabilities with business needs and optimize performance.
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