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 the design and development of complex, high-quality features and large-scale systems while optimizing for performance and resilience. Mentor engineering teammates, drive technical strategy, and oversee the implementation of CI/CD pipelines and AI tool integration.
Create high-quality 3D renders, product page imagery, and campaign assets for AI consumer hardware. This includes preparing CAD models and developing production-ready scenes with accurate materials and lighting.
The role involves analyzing and documenting finance-related business processes to implement Oracle EBS solutions that improve operational efficiency. Key duties include leading workshops to gather requirements, managing financial enhancement projects, and ensuring regulatory compliance through system controls.
Design and operate core platform services and developer frameworks to support high-scale distributed systems. Develop internal tooling and CI/CD enhancements to improve engineering velocity, reliability, and observability.
The role involves developing high-quality software features and resolving bugs within an Agile environment. The engineer is responsible for following best practices in design patterns and coding styles to improve supply chain software solutions.
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Build and operate AI-enabled solutions, reusable components, and workflow automations to accelerate enterprise AI adoption. Develop production-quality agents and prompts while implementing engineering controls for data handling and security.
Translate the enterprise AI roadmap into scalable platform architecture and reusable technical patterns. Lead the design of shared AI services, governance controls, and observability frameworks to enable consistent AI adoption across the organization.
The Platform Engineer acts as a link between application teams and the Navy platform environment to advocate best practices. They are responsible for innovating technical solutions, maintaining Kubernetes clusters, and contributing to the strategic vision of the platform.
Design and develop backend software processors to ingest, transform, and distribute real-time weather data. Collaborate with stakeholders to build scalable processing services and maintain database schemas in an Agile environment.
Design and implement innovative AI solutions and GenAI architectures using cloud platforms and multi-agent frameworks. Develop backend APIs with Python and manage deployments using Kubernetes and MLOps practices.
Design, develop, and evolve high-availability backend applications and REST APIs within a microservices architecture. Collaborate with multidisciplinary teams using Agile methodologies and leverage AI tools like GitHub Copilot to increase productivity.
Develop Java backend applications and integrate AI tools to optimize development processes. Focus on improving code quality, reducing technical debt, and managing microservices.
The role involves the analysis, development, and maintenance of backend applications using modern architectures. The selected candidate will ensure the implementation of development best practices within a stable, long-term project.
The role involves data development and reporting using Qlik Sense. The developer will work with Spark-based platforms and DevOps tools to implement data solutions.
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Design and optimize commercial capabilities, including field force KPIs, incentive compensation plans, and targeting processes. Partner with leadership to translate strategy into measurable execution frameworks and manage external data vendors to drive field performance.
Refactor and modernize custom Appian plugins to ensure compatibility with Appian Cloud architecture and security standards. Collaborate with delivery teams to remediate application objects and support production cutover and stabilization.
The QA Engineer will own product quality across integrations, APIs, and AI-agent workflows, focusing on feature validation and exploratory testing. They will be responsible for building regression suites, investigating production issues, and driving defects to resolution.
The Staff Engineer leads the design and evolution of product verticals on a Kotlin/JVM event-oriented platform. They are responsible for the full delivery lifecycle, from requirements discovery and architectural design to implementation and operational ownership.
The Account Technical Lead serves as the primary technical authority for regional accounts, designing hybrid architectural solutions and maintaining customer technical visions. They orchestrate technical specialists and partners to deliver demos, benchmarks, and resolve complex technical issues to drive revenue growth.
Design and build a real-time notification platform and Kafka streaming pipelines for low-latency trading alerts. Drive technical architecture decisions and mentor senior engineers while developing production-grade .NET Core APIs for risk and fraud systems.
The role focuses on sourcing and qualifying new business opportunities and managing the full sales cycle using the MEDDPICC framework. Key duties include developing a business case for prospects and aligning Ketch's privacy management solutions to customer needs.
Design and implement scalable real-time data integration and CDC solutions using the Striim platform to power enterprise AI and analytics. Develop data pipelines for machine learning workflows and collaborate with engineering teams to validate architectural designs.
The role involves building new web applications and adding features to existing products using Angular and .Net on Azure. Responsibilities include the design, coding, testing, and support of complex multi-tenant, high-concurrency commercial web solutions.
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The role involves splitting time between developing the core AI platform and deploying production-ready agentic applications directly for customers. The engineer will translate customer workflows into technical requirements and feed field insights back into the product roadmap.
The role involves designing and implementing scalable data solutions and building robust data pipelines using APIs. The engineer will optimize data workflows and handle large-scale datasets within the e-commerce industry.
The role involves splitting time between developing the core AI platform and deploying production-ready agentic applications directly for customers. The engineer will translate customer workflows into technical requirements and feed field insights back into the product roadmap.
The Field Applications Engineer serves as the primary technical point of contact, providing pre-sales and post-sales support for wireless communication products. They are responsible for integrating systems, conducting field demonstrations, and providing Voice of the Customer feedback to internal product development teams.
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