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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Faculty are responsible for facilitating student learning by teaching courses, developing syllabi, and creating lesson plans in accordance with university requirements. They must also integrate AI technologies into the classroom and provide timely, fair feedback on student assignments and exams.
Faculty are responsible for facilitating student learning by teaching courses, developing syllabi, and updating course materials in accordance with university requirements. They must also integrate AI technologies into the classroom while providing timely feedback and support to students.
Lead and grow a team of engineers by managing delivery, professional development, and continuous improvement processes. Drive technical architectural decisions while maintaining a hands-on approach to coding and system quality.
Lead a team of engineers by managing delivery, professional development, and architectural decision-making. Partner with product teams to define roadmaps while maintaining high engineering standards and fostering a culture of continuous improvement.
The Senior Piping Engineer is responsible for the design, layout, and maintenance of piping systems for nuclear and commercial projects. This role involves creating detailed engineering drawings, performing stress analysis, and mentoring junior colleagues to ensure project integration and technical accuracy.
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The Digital Coordinator will assist in the setup and deployment of Digital Twin platforms by managing cross-functional project activities and validating building system data. They will collaborate with internal teams to ensure system integrations and provide technical insights to support product development.
The engineer will design and implement automated workflows for partner data management and build ETL pipelines to synchronize data across internal systems. Additionally, they will develop tools to automate operational processes, monitor data quality, and create dashboards for reporting.
You will lead the development of IoT security features and architect scalable solutions for ICS/OT and healthcare verticals. Additionally, you will collaborate with cross-functional teams to define priorities while mentoring developers and supporting operations.
The HV SCADA Engineer II is responsible for the design, configuration, testing, and commissioning of high voltage SCADA systems for utility-scale renewable energy projects. This role involves coordinating network settings, troubleshooting communication issues, and ensuring compliance with NERC standards and project specifications.
You will design, develop, and maintain full-stack features for the Sophia learning platform while taking end-to-end ownership of technical direction and production health. Additionally, you will mentor other engineers and integrate AI-powered tools into the software development lifecycle to improve efficiency.
Design, develop, and maintain full-stack features for the Sophia learning platform while taking end-to-end ownership of technical direction and production health. Collaborate with cross-functional teams to implement scalable solutions and integrate AI-powered workflows into the software development lifecycle.
The Solutions Engineer is responsible for generating demand through prospecting, qualifying leads, and proposing tailored AV/IT solutions to B2B clients. They will also collaborate with sales and marketing teams to meet sales targets and maintain accurate records in Salesforce.
The position involves reviewing clinical documentation to assign accurate CPT, ICD-10-CM, and HCPCS codes for professional services. Additionally, the coder will monitor billing compliance, develop documentation procedures, and provide training and support to the coding team.
The manager will synthesize complex program data and market trends to create impactful client-ready retail narratives and executive presentations. They are responsible for leading weekly readouts, Quarterly Business Reviews, and Yearly Business Reviews to support strategic decision-making.
The Senior Platform Engineer will architect, develop, and maintain scalable cloud infrastructure and CI/CD pipelines to support software development. They will also drive DevOps and SRE practices while ensuring system reliability, security compliance, and performance optimization.
The Regional Sales Manager is responsible for managing and growing sales of the DuPont Personal Protection portfolio within the assigned region. This involves developing sales strategies, training channel partners, and closing high-value opportunities with end-users.
The Principal AI Solutions Architect will serve as a strategic bridge between customer goals and AI transformation by designing and operationalizing Genesys AI solutions. They will lead value discovery, define reference architectures, and mentor teams to ensure successful AI adoption and continuous performance improvement.
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The Staff Software Development Engineer will design, develop, and implement digital health solutions while leading technical direction and innovation. This role also involves driving operational excellence through automation, reliability improvements, and serving as the technical lead for complex production issues.
The Integration Engineer will build and maintain API-led infrastructure to support Navy enterprise platforms. This role involves orchestrating complex integration use cases and accelerating development lifecycles to maximize efficiency.
You will design and develop software solutions using .NET and Java to support healthcare business processes. Additionally, you will be responsible for maintaining existing software, improving performance, and contributing to architectural decisions.
You will manage media measurement and optimization projects while collaborating with cross-functional teams to drive business value for clients. This involves designing analytical approaches, interpreting complex datasets, and presenting actionable insights to stakeholders.
The Project Manager will coordinate multiple administration and development projects across enterprise systems while performing business analysis to translate stakeholder needs into actionable requirements. They will facilitate agile ceremonies, manage delivery workflows in Jira, and ensure alignment across remote teams to improve core business value streams.
The Process Engineer will optimize warehouse processes, logistics performance, and end-to-end operational efficiency. They will also lead change management initiatives, train warehouse teams, and conduct financial impact analyses for improvement proposals.
You will architect and build large-scale ML systems spanning training, inference, and evaluation to ensure high reliability and performance. You are responsible for setting technical standards and collaborating with cross-functional teams to integrate ML solutions into production products.
You will own the end-to-end execution layer of the company's intelligence, including training pipelines, inference systems, and deployment. You will collaborate with research and application teams to integrate ML systems into production products while balancing latency, cost, and reliability.
You will own the behavior of the desktop application, focusing on reliability, performance, and real-time functionality. Responsibilities include building cross-platform features with Electron, integrating AI-powered backend APIs, and optimizing application performance.
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You will own the behavior of the desktop application, focusing on reliability, performance, and real-time functionality. Responsibilities include building cross-platform features with Electron, integrating AI-powered backend APIs, and optimizing application performance.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and production deployment. You will also architect scalable inference systems and collaborate with application engineering to integrate ML models into products.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and production deployment. You will also collaborate with application engineering to integrate these models into backend, mobile, and desktop products.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. Additionally, you will collaborate with application engineering to integrate these systems into production products while ensuring reliability and performance.
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