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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Partner with customer-facing teams to sell the risk-decisioning platform by understanding business challenges and delivering compelling technical propositions. Act as a subject matter expert to shape solution strategies, conduct architecture workshops, and align client needs with AI/ML capabilities.
Perform complex interconnection studies including load flow and transient stability across multiple ISOs in the Eastern Interconnect. Provide subject matter expertise to clients and mentor technical staff to support growth strategies.
Perform complex interconnection studies including loadflow and transient stability across multiple ISOs and utilities. Develop and validate IBR and large load models while supporting developers in navigating interconnection processes.
Install, administrate, and maintain CICS systems software and resource definitions within an IBM mainframe environment. Provide high-level technical support, performance monitoring, and recovery planning to ensure system stability and security.
Manage Information Security and Risk Management services, overseeing personnel, budgets, and the implementation of security technology products. Lead strategic planning, ensure corporate policy compliance, and develop security awareness training programs.
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Lead the design and implementation of enterprise AI solutions, specifically focusing on search and summarization for the Joint Longitudinal Viewer. Ensure all architectures are scalable, secure, and compliant with Federal cybersecurity and healthcare governance requirements.
Lead the planning and delivery of enterprise AI solutions, specifically AI-assisted search and summarization for the Department of Veterans Affairs. Coordinate cross-functional teams including clinicians, engineers, and cybersecurity experts to ensure alignment with Federal governance and security requirements.
Design and implement enterprise AI solutions using LLMs and RAG to support the Department of Veterans Affairs' AI summarization initiatives. Develop secure, scalable cloud-native applications and RESTful APIs while ensuring compliance with federal security and healthcare governance standards.
Lead the engineering effort to replatform and evolve a suite of proprietary eDiscovery tools, serving as the primary technical decision-maker for architecture and infrastructure. Establish engineering foundations including CI/CD and coding standards while building and mentoring a high-performing engineering team.
Embed within client operations to learn business processes firsthand before rebuilding them from first principles using AI. Ship production-ready GenAI systems and own the measurable business outcomes for clients in financial services and healthcare.
Design, develop, and optimize engine-level systems within Unreal Engine to improve performance and stability across target platforms. Collaborate with cross-disciplinary teams to resolve technical challenges and evolve the codebase architecture.
Own the product roadmap for commercial go-to-market tools and serve as the link between business stakeholders and the agile delivery team. Define epics, features, and user stories while leveraging AI tools to accelerate documentation and insights.
Lead the global Network Implementation Management team overseeing thousands of annual circuit deployments and managing relationships with bandwidth vendors. Drive process standardization and automation while preparing the infrastructure for expansion into AI Cloud.
Lead the assessment, design, and governance of complex cloud and hybrid enterprise environments for a federal project. Provide senior technical advisory for systems integration, modernization initiatives, and DevSecOps workflows.
Own and improve machine learning models powering the Home feed and Shortcuts experience for millions of global listeners. Design and ship personalized recommendations and AI-powered user experiences using LLMs and production-scale ML infrastructure.
Design and develop customized Salesforce solutions using Apex, Visualforce, and Lightning components for public sector clients. Collaborate with stakeholders and technical teams to integrate Salesforce with enterprise systems and maintain high code quality.
Provide technical sales support throughout the enterprise software sales cycle to drive revenue and opportunities. Deliver customized technical presentations and manage complex client requirements to map Toppan Merrill solutions to business needs.
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The role involves providing technical support, troubleshooting, and enhancing application features while contributing to design and development discussions. Responsibilities also include creating migration plans for legacy systems and implementing secure unit and systems testing.
Lead the design, implementation, and validation of high-performance data center networks for strategic customers using the PDI framework. Provide technical expertise in Ethernet routing and automation to optimize GPU-enabled AI applications and server infrastructure.
Lead technical development and oversee the execution of complex energy efficiency and decarbonization projects for utility programs. Manage engineering reviews of energy savings calculations and provide technical guidance to contractors and customers.
The role focuses on building, maintaining, and optimizing scalable data pipelines and architectures to power business-critical analytics. It involves collaborating with Data Science and Ops teams to ensure data quality and enable self-service analytics.
Lead state-of-the-art research and development by creating novel AI workflows and models to solve security problems. The role involves incorporating advanced statistical modeling and applied mathematics to advance the platform's intent-aware security capabilities.
Develop and drive the organization's AI strategy and transformation to improve work quality and velocity across all teams. Lead the AI operating cadence, establish adoption measurement frameworks, and partner with Engineering on tooling operations.
Design and implement solutions based on Azure Kubernetes Service (AKS) and manage CI/CD pipelines for automated deployments. Monitor and optimize production platforms using SRE practices and observability tools.
Provide technical leadership and develop software development strategies for .NET and other domains. Collaborate with cross-functional teams to solve complex problems and mentor the engineering community.
Serve as the primary technical authority to establish the vision and modernization roadmap for a federal Contact Center program. Lead multidisciplinary engineering teams to deliver scalable, secure, and resilient enterprise technology solutions.
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Lead the design and implementation of quality assurance protocols for AI training data, model evaluation, and multi-modal data for robotics and autonomous vehicles. Act as the primary strategic point of contact for customers to define high-quality data standards and drive thought leadership in AI model robustness.
Act as a trusted advisor for premium customers to drive product adoption and maximize the value of fraud and identity solutions. Lead the full customer lifecycle including onboarding, training, operational reviews, and strategic consulting to ensure long-term retention.
Define and lead the multi-year technical strategy for a next-generation servicing system and AI-driven workflows. Act as a senior technical advisor to executive leadership while mentoring Principal Engineers to grow the technical leadership bench.
Design, build, and operate scalable batch and streaming data pipelines using Apache Spark and cloud-native technologies. Transform raw data into analytics-ready datasets to support enterprise reporting and machine learning workloads.
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