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 EWM Solution Architect will lead end-to-end SAP EWM implementations, translating complex business requirements into robust functional and technical designs. They will also act as the primary subject matter expert, facilitating workshops and guiding cross-functional teams through supply chain transformations.
Serve as a trusted technical advisor to drive the adoption of Databricks and Microsoft Azure solutions for customers and partners. Lead architecture reviews, technical strategy, and deployment initiatives to resolve blockers and accelerate business value.
The Power Infrastructure Delivery Lead manages the end-to-end delivery of behind-the-meter power solutions for datacenter projects. This includes coordinating design, construction, commissioning, and operational turnover while ensuring compliance with Microsoft standards and safety requirements.
The Director leads the development of financial and operational capabilities for pricing and contracting decision-making across the organization. They are responsible for deal modeling, GTN/ASP forecasting, and establishing data standards to support market access and commercial strategies.
The Financial Systems Engineer will lead the engineering management, support, and evolution of core financial and practice management systems. Responsibilities include administering SQL databases, managing system integrations, and providing advanced technical support to finance staff and attorneys.
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Collaborate with the OptiSource development team to implement predictive analytics and AI/ML solutions within the Army VANTAGE platform. Responsibilities include LLM integration, fine-tuning, and migrating analytics applications into the production environment.
Lead and support mainframe modernization and SCM migration projects, including the configuration and troubleshooting of tools like DBB, Git, and IDD. Develop CI/CD pipelines and provide technical training and knowledge transfer to client stakeholders.
The specialist will install, configure, and manage IBM IMS and IMS Tools within a Parallel Sysplex environment. They are responsible for database administration, performance monitoring, disaster recovery planning, and leading complex migrations.
The Senior SCADA Engineer will design, develop, and deploy industrial automation software solutions while collaborating with clients to meet system requirements. They are responsible for installing, configuring, and troubleshooting SCADA systems, PLCs, and data historians to ensure optimal performance.
The Senior IMS Systems Programmer will support IBM IMS systems programming, database administration, installation, and migration within z/OS environments. They will also interface directly with customers to gather requirements, resolve technical issues, and develop technical presentations.
Perform mainframe scheduling migrations to IBM Z Workload Scheduler and replace existing batch scheduling products. Investigate reports, identify root causes, and provide technical troubleshooting and support for scheduling environments.
Support and administer IBM Infoprint and mainframe print environments, including form creation, fonts, and layouts. Collaborate with infrastructure teams to resolve connectivity issues and execute print modernization and migration initiatives.
The role involves supporting the Storage Workstream for IBM Z mainframe environments, focusing on storage management, tape management, and migration activities. You will provide configuration, installation, and operational support for IBM Z storage products while collaborating with technical stakeholders to ensure system stability.
The role involves providing deep domain expertise to lead database modernization and cloud migration strategies for complex enterprise estates. It also requires driving business growth by partnering with cross-functional teams to accelerate Azure database consumption and AI platform adoption.
The Mainframe Automation Engineer will design, implement, and maintain automation solutions within a z/OS environment using IBM NetView and System Automation. They will also manage migration projects, develop REXX scripts, and ensure system resiliency through effective operational support.
Lead the migration from CA TPX to IBM CL/SuperSession as the enterprise mainframe session management solution. Provide end-to-end technical expertise including installation, configuration, administration, and troubleshooting of the CL/SuperSession product.
The role involves providing technical leadership for PCB materials, fabrication technologies, and design-for-excellence (DFx) for advanced electronic systems. You will collaborate with cross-functional teams and global suppliers to ensure robust, manufacturable, and reliable PCB designs for various high-stakes applications.
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The Systems Administrator will engineer, deploy, and manage Windows and macOS endpoint environments while developing automation solutions to improve operational efficiency. They will also administer Microsoft 365 services and partner with security and infrastructure teams to ensure system reliability and compliance.
The AI Architect is responsible for engineering, scaling, and operationalizing AI solutions while ensuring their integration, performance, and security within the enterprise architecture. They collaborate with cross-functional teams to design end-to-end AI products and provide guidance on vendor selection, governance, and risk mitigation.
The Field Service Engineer is responsible for the installation, maintenance, and repair of medical systems while providing technical support and training to healthcare staff. They manage service requests within their assigned territory and ensure accurate documentation of all service events and system updates.
The Field Service Engineer is responsible for installing, maintaining, and repairing medical systems while providing technical support and training to healthcare providers. They manage their assigned territory independently, ensuring high-quality service delivery and accurate documentation of all service events.
The Field Service Engineer is responsible for the installation, maintenance, and repair of medical systems while providing technical support and training to healthcare providers. They manage service requests within their assigned territory and ensure accurate documentation of all service activities.
The Field Sales Engineer is responsible for driving sales of ASCO products within the Mid-Atlantic territory by managing existing accounts and developing new business opportunities. They will track projects from design to completion, provide technical support, and coordinate with internal teams to ensure customer satisfaction.
The Senior Software QA Engineer is responsible for developing and executing comprehensive test strategies to ensure software quality and performance throughout the development lifecycle. They will collaborate with cross-functional teams to document defects, report status updates, and ensure compliance with regulatory standards.
The Accounts Payable Clerk is responsible for processing vendor invoices, verifying documentation, and ensuring accurate payment schedules. They also maintain vendor records, reconcile statements, and assist with month-end closing activities.
The Field Application Engineer acts as a subject matter expert on overcurrent protection, driving product demand by influencing consulting engineers, OEMs, and electrical inspectors. They are responsible for developing technical training materials, providing pre-sale and post-sale support, and ensuring compliance with NEC and UL standards.
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The AI Enablement Lead will develop and execute a company-wide strategy to foster AI adoption, capability, and responsible usage. They will lead a cross-functional 'AI Superteam' to identify high-impact use cases and scale effective AI practices across the organization.
Design and build agentic systems that automate the acquisition, cleaning, and quality control of large-scale biomedical datasets. Collaborate with ML scientists to maintain production data pipelines and ensure data provenance and reproducibility.
You will set the technical direction for the company's machine learning portfolio and establish foundational MLOps workflows. You will also partner with product and engineering teams to translate complex payment challenges into scalable modeling solutions.
You will design, code, and deploy highly scalable machine learning features for a real-time bidding system. You will also collaborate with data scientists and engineers to build distributed systems that enhance the platform's performance.
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