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 Electrical CAD Engineer is responsible for the development, release, and sustainment of electrical schematics, panel layouts, and power distribution designs for mission-critical infrastructure. This role ensures design integrity across the product lifecycle while collaborating with mechanical and manufacturing teams to maintain compliance and production continuity.
The Sr. Enterprise Architect will work directly with clients to design and implement AI-enabled solutions on top of existing ERP systems like SAP and Oracle. They will lead discovery sessions, map business processes, and translate complex requirements into scalable, intelligent innovation layers.
Design, deploy, and maintain scalable cloud infrastructure on GCP while developing AI/ML and Generative AI applications. Collaborate with technical teams to implement security best practices and troubleshoot deployments within classified environments.
The medical coder is responsible for applying accurate ICD-10, CPT, and HCPCS codes to medical records while ensuring compliance with payer guidelines. They also support billing accuracy, conduct chart reviews, and provide guidance to the billing team.
The Principal Presales Engineer will lead technical pre-sales relationships, drive discovery, and design innovative solutions to solve customer business challenges. They will partner with Account Executives to deliver product demonstrations, Proof-of-Concepts, and technical presentations while mentoring less experienced team members.
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The Encompass Administrator will own and optimize the loan origination system by streamlining workflows and cleaning up legacy configurations from mergers and acquisitions. They will also manage user permissions, support API integrations, and partner with internal teams to improve system reliability and efficiency.
The role involves owning technical delivery and production support for critical point-of-sale systems in a 24/7 retail environment. You will lead IT initiatives from requirements gathering through deployment while providing second and third-level support for complex production issues.
Serve as a strategic advisor and Salesforce platform expert for large enterprise customers to accelerate their path to value. Lead internal strategic initiatives, manage project risks, and collaborate with delivery teams to architect scalable technology solutions.
The role involves building scalable ETL/ELT pipelines and designing integration solutions between Salesforce and enterprise applications. You will also conduct deep-dive data analysis and implement automated data quality controls to ensure system performance and governance.
The engineer will build and deploy advanced machine learning models for ad targeting, identity resolution, and contextual signals. They will collaborate with cross-functional teams to productionize these models at scale within a high-performance advertising ecosystem.
Drive technical sales and adoption of Microsoft's cloud data platforms through demos, hackathons, and architecture workshops. Collaborate with enterprise customers to design secure, scalable data solutions and resolve technical blockers.
The Cloud Solution Architect will guide customers through data modernization and AI journeys by designing secure, scalable, and AI-ready solutions on Microsoft Azure. They will lead architectural design sessions, proof-of-concept initiatives, and production deployments while collaborating with internal teams to drive business value and solution adoption.
The Data Solutions Engineer will design, develop, and maintain data models and analytical reports to support business intelligence and operational needs. They will also collaborate with IT and engineering teams to enforce data governance standards and ensure seamless integration across data systems.
The Solutions Principal will shape complex AI infrastructure opportunities by engaging with executive stakeholders and defining solution strategies. They will collaborate with technical teams to ensure Insight is positioned as a trusted advisor throughout the pursuit lifecycle.
The role involves engaging with strategic customers to gather engineering insights and drive product improvements for Windows 365 and Azure Virtual Desktop. You will influence product roadmaps and enable the deployment ecosystem through deep technical collaboration.
This role is responsible for modernizing analytics and streamlining reporting assets from legacy systems to Epic native reporting and Tableau. The incumbent will maintain reporting environments, collaborate with data architects, and ensure high-quality, actionable data delivery.
The role involves designing and building next-generation networking infrastructure to support large-scale AI training and inference. You will lead architectural discussions, develop complex design specifications, and ensure the performance, scalability, and security of distributed AI systems.
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Define and execute the product strategy for GPU back-end networking to support large-scale AI training and inference workloads. Drive cross-functional alignment across hardware, software, and operations teams to deliver infrastructure from concept through deployment.
The Industry Architect leads R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, managing technical workstreams, and developing reusable architectures to scale R&D solutions.
The Industry Architect will lead complex R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, designing technical solutions, and developing repeatable patterns to scale R&D motions across industries.
The AI Platform Engineer will build and operate platforms for deploying, monitoring, and maintaining production AI models and services. They will collaborate with cross-functional teams to ensure AI capabilities are safely and consistently delivered into production workflows.
The manager will serve as the strategic analytics engine for the GTM organization, owning target setting, KPI development, and performance reporting. They will drive cross-functional initiatives to optimize sales productivity, pricing, and account segmentation while providing actionable insights to leadership.
The Lead Privacy Engineer will design and operationalize advanced de-identification, anonymization, and encryption capabilities for Project Trinity. This role involves translating complex privacy and regulatory requirements into technical controls across data pipelines and platform architectures.
Lead reliability engineering initiatives for critical user-facing systems to ensure high availability, performance, and scalability. Drive operational excellence by architecting robust systems, automating workflows, and leading complex incident response efforts.
Lead the operational strategy and execution for the Salesforce platform to ensure reliability, performance, and scalable delivery of business value. Manage cross-functional teams, vendor performance, and platform governance while driving continuous improvement and operational excellence.
The Finance Integration Lead is responsible for coordinating the finance workstream for the integration of IDT and Aldevron, including harmonizing processes, systems, and reporting. This role facilitates weekly management meetings and partners with cross-functional teams to ensure program governance and value realization.
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Design and implement automated data quality validation and monitoring processes across cloud-native data pipelines. Collaborate with stakeholders and engineering teams to translate data quality findings into actionable improvements and technical solutions.
The Data Catalog Engineer will configure and maintain enterprise data catalog systems to ensure metadata accuracy and accessibility across the platform. They will also implement data lineage tracking and enforce governance policies within Databricks Unity Catalog to support secure data access.
Build and deploy production-grade AI/ML capabilities using Azure and Databricks to support enterprise data modernization. Implement MLOps practices and ensure AI solutions comply with safety, privacy, and governance standards.
The Senior Data Engineer will lead the design and implementation of scalable ingestion architectures and data models for a federal agency's cloud-native platform. They will also serve as a team lead, managing technical delivery, mentoring staff, and acting as the primary liaison between the team and customer leadership.
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