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 complex data and AI programs while serving as the primary point of contact for client sponsors and partners. Manage engagement financials, delivery roadmaps, and cross-functional teams to ensure measurable business impact.
Design, standardize, and operate reliable enterprise application delivery pipelines for business-critical platforms like Salesforce and Zuora. Partner with cross-functional teams to implement CI/CD patterns, improve release governance, and utilize AI-assisted tools to drive efficiency.
You will establish and shape the Cloud Operations capability by creating standardized procedures for routine production changes. You will also partner with engineering teams to automate operational tasks and improve the reliability and observability of customer cloud environments.
You will automate and build runtime production environments while serving as a bridge between application development teams and the production infrastructure. Additionally, you will validate technical implementations, solve complex business problems independently, and facilitate cross-functional collaboration.
You will own the production Vertex Synapse platform, ensuring its health and operationalizing threat intelligence into security detections and blocks. Additionally, you will build and maintain intelligence feed integrations and collaborate across teams to translate intelligence requirements into technical capabilities.
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You will build and deploy machine learning models for offer personalization, ranking, and targeting using large-scale transaction and behavioral data. Additionally, you will design experiments and apply causal inference methods to measure campaign impact and partner ROI.
The Product Operations Analyst will manage service documentation, vendor onboarding, and performance reporting to support the Cyber Security product function. They will also identify and implement process improvements to enhance operational efficiency.
The Lead Platform Software Engineer will design, develop, and test enterprise-level applications while leading product delivery teams. They are responsible for setting technical direction, ensuring high-quality code standards, and leveraging AI tools to enhance developer productivity.
The Project Engineer will serve as the technical lead for High Density Liquid Cooling and Integrated Solutions installation projects across the U.S. They are responsible for managing the technical execution from material procurement through commissioning while ensuring compliance with safety and quality standards.
The Senior Product Data Analyst will serve as the analytical backbone for product initiatives, focusing on eligibility AI, revenue analysis, and client outcomes. This role involves building data models, creating dashboards, and translating complex business questions into actionable insights for product and leadership teams.
Lead the engineering and design of utility-scale substation projects while providing technical guidance for physical design and protection systems. Coordinate multidisciplinary teams to ensure project delivery meets quality, schedule, and budget objectives.
The role involves abstracting medical information to assign accurate ICD, CPT, and HCPCS codes while collaborating with physicians to clarify documentation. Additionally, the coder will conduct internal audits and ensure compliance with reimbursement rules and ethical coding standards.
You will lead the technical build of a greenfield cloud platform, setting standards for service deployment, security, and observability. You will work hands-on with infrastructure as code and partner with AI and data engineering teams to ensure platform scalability and performance.
The Business Analyst will collaborate with customers and internal teams to implement, configure, and test software solutions. They are responsible for translating business needs into detailed requirements and managing multiple development projects.
You will own an AI-native product portfolio end-to-end, from problem definition and prototyping to launch and performance monitoring in production. You will work embedded with enterprise customers to build and tune AI agents against real-world data and edge cases.
Deliver graduate-level instruction for a web-based course on Strategic Procurement and Sourcing using online platforms. Manage course content, assignments, and student grading through the university's learning management system.
The Solutions Engineer will design, deploy, and support managed WiFi and network services, including creating BOMs and SOWs. They will also provide technical support for field teams and act as a subject matter expert during client meetings and site visits.
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The Proposal Architect analyzes prospective client financial data to identify needs and creates detailed proposals to bridge the gap between sales and implementation. They also support the onboarding process and continuously refine proposal strategies based on project outcomes.
The Business Development Representative will partner with AWS Field Sellers to identify, engage, and qualify new opportunities across targeted accounts. This role involves executing multi-channel prospecting campaigns and maintaining accurate pipeline data within CRM systems.
You will design, develop, and support cloud-based integration solutions using Informatica IICS to connect Oracle ERP Fusion Cloud with other enterprise applications. Additionally, you will manage data transformation, workflow orchestration, and performance optimization while providing operational support for production environments.
You will build and own complex fullstack features using TypeScript, React, and Node.js while designing scalable backend and frontend solutions. Additionally, you will collaborate directly with clients to translate requirements into production-ready technical solutions and integrate AI-powered functionality.
Perform end-to-end manual and automation testing while utilizing AI tools to enhance test coverage and efficiency. Collaborate with product and engineering teams to document defects and ensure high-quality software releases.
The Senior Software Engineer will lead the design, development, and maintenance of cloud-native algorithmic trading software throughout the entire SDLC. They are also responsible for mentoring team members, conducting code reviews, and driving continuous improvement in engineering practices.
The Principal PLM Developer will build and support PLM capabilities, including BOM and change management, while integrating CAD systems with the PLM database. They will also manage environment upgrades, ensure system compliance, and provide customer support to a diverse user population.
You will architect end-to-end analytical and AI-driven strategies to transform complex datasets into measurable commercial outcomes. This involves leading the development of Generative AI models, AI agents, and machine learning solutions while acting as a trusted advisor to business stakeholders.
The iOS Engineer will design, develop, and test mobile applications while ensuring seamless integration with backend tools and APIs. They will also manage the full development lifecycle, including UI/UX implementation, documentation, and stakeholder collaboration.
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You will design, build, and optimize cloud infrastructure to support machine learning operations and scale AI models from research to production. This involves automating workflows, managing CI/CD pipelines, and ensuring system reliability and performance across the GCP environment.
You will lead the design, deployment, and testing of physical security systems, including conducting site surveys and producing detailed technical documentation. The role involves hands-on installation, troubleshooting, and direct coordination with customers to ensure system performance and regulatory compliance.
The supervisor will lead a team in delivering high-quality data analysis, reporting, and infrastructure support while modernizing the reporting stack. They are responsible for quality assurance, stakeholder collaboration, and the professional development of their team members.
The Clinical Quality Assurance Coordinator performs quality assurance reviews of peer review reports to ensure clinical accuracy, evidence-based rationales, and compliance with regulatory standards. They also identify inconsistencies in reports and coordinate with peer reviewers to obtain necessary clarifications or modifications.
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