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 develop and maintain data-driven R and Shiny applications to support scientific and clinical decision-making processes. The role involves collaborating with scientists and researchers to design reproducible data processing pipelines within a GxP environment.
Adapt and review scripts for AI dubbing projects to ensure natural and engaging localized content. Collaborate with internal teams to maintain high quality standards for AI-generated dubbing outputs.
The Solutions Engineer will partner with the sales team to articulate the Grafana value proposition and lead technical engagements with customers. They are responsible for delivering product presentations, driving technical evaluations, and acting as a bridge between customers and internal product teams.
The Solutions Engineer will partner with the sales team to articulate the Grafana value proposition and lead technical engagements with customers. They are responsible for delivering product presentations, conducting technical evaluations, and acting as a bridge between customers and internal product teams.
The Associate Customer Success Engineer will serve as a technical expert to drive customer adoption and maximize the return on investment for the Cyera platform. They will manage ongoing client engagements, troubleshoot technical issues, and advocate for customer needs to influence product development.
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Design and maintain large-scale distributed database systems to ensure low-latency and strongly consistent data access. Collaborate with infrastructure and product teams to optimize performance and reliability while participating in on-call rotations.
The Customer Success Engineer will serve as a technical expert to drive customer adoption, optimize platform utilization, and ensure high return on investment. They will also lead ongoing engagements, resolve technical obstacles, and advocate for customer feedback to influence product development.
The consultant will lead strategic relationships with government stakeholders and deliver technical solutions using the Elastic Search AI Platform. Responsibilities include solution design, capacity planning, and developing proof-of-concepts to solve complex data challenges.
The Customer Success Engineer serves as a technical expert to drive platform adoption, optimize customer ROI, and ensure long-term satisfaction. They act as a trusted advisor by designing customized use cases, resolving technical issues, and conducting quarterly business reviews.
You will design and implement automations for recurring incidents and operational processes while transforming manual tasks into scalable workflows. Additionally, you will collaborate with cross-functional teams to develop Infrastructure-as-Code solutions and enhance service reliability through improved monitoring and observability.
You will be responsible for administering and optimizing cloud and hybrid infrastructures, primarily within AWS. Additionally, you will manage complex incidents, support critical systems, and collaborate with development and architecture teams to ensure service continuity.
Design, build, and operate production-grade APIs, microservices, and data pipelines for geospatial and temporal analytics. Lead features end-to-end from technical discovery and design through implementation, testing, and runtime monitoring.
Design, build, and operate production-grade APIs, microservices, and data pipelines for maritime geospatial analytics. Lead features end-to-end from technical discovery and design through implementation, deployment, and runtime monitoring.
Develop and evolve Java-based applications using Spring and microservices architecture. Collaborate with Architecture, QA, and DevOps teams while participating in all phases of the software development lifecycle.
You will design, build, and operate production-grade APIs, microservices, and data pipelines for maritime geospatial analytics. The role involves leading features end-to-end, from technical discovery and design through to implementation, deployment, and runtime monitoring.
The Project Manager will lead the configuration and continuous improvement of PMO tooling, including Azure DevOps and AI-driven automation. They will act as a Subject Matter Expert to drive standardization, quality, and efficiency across project delivery processes.
The Project Manager will lead the implementation, configuration, and continuous improvement of PMO tooling and automation. They will act as a subject matter expert to drive AI-enabled workflows and ensure standardized project delivery across the organization.
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You will be responsible for rapidly building, testing, and shipping AI-powered features within the core R&D team. The role focuses on accelerating the integration of AI technologies into music creation software.
You will design, develop, and maintain responsive web and mobile applications while collaborating with stakeholders and backend teams. Additionally, you will conduct user research and usability testing to ensure intuitive interfaces that meet federal accessibility standards.
You will create, maintain, and test databases, integrations, APIs, and other back-end processes for the company's principal products. You will also contribute to the development and maintenance of in-house and open-source libraries.
You will support Product, Marketing, and Operations stakeholders by building dashboards, writing SQL queries, and automating recurring reports. You will also own day-to-day operational reporting and ad-hoc data requests to improve data reliability and team efficiency.
The Solution Architect will design and oversee the overall architecture for IT projects in the railway industry. They are responsible for ensuring alignment between business and technical requirements while supporting system integration initiatives.
You will provide pre-sales technical support and lead validation processes to help customers align their business needs with Red Hat's automation solutions. Additionally, you will act as a customer advocate while collaborating with internal cross-functional teams to ensure successful implementation and thought leadership.
Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and quality. Identify inconsistencies and contribute to the development of high-quality datasets for training advanced AI models.
The role involves supporting and optimizing AWS infrastructure for Amazon Connect and enterprise cloud platforms using Infrastructure as Code. You will also be responsible for improving platform reliability through incident response, automation, and the development of monitoring solutions.
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The Lead Architect will design, implement, and support cloud-based solutions while acting as a senior technical expert for Microsoft and Azure environments. They are also responsible for mentoring team members, managing vendor relationships, and driving automation and efficiency improvements across IT infrastructure.
The role involves architecting and building enterprise-scale Generative AI and data platforms to support advanced analytics and agentic workflows. You will lead the design of reusable platform services while ensuring high standards for security, governance, and operational excellence.
Design, develop, and maintain scalable data pipelines and architectures while ensuring data quality, governance, and observability. Collaborate with cross-functional teams to implement robust data solutions and optimize performance across cloud platforms.
The QA Tester will perform in-depth data profiling and execute quality rules to ensure data integrity throughout a large-scale migration project. They will also document findings and collaborate with data engineers to remediate issues while championing data quality standards.
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