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 Legal Engineer will engage with in-house legal teams to understand their workflows and create tailored LexisNexis AI and workflow solutions to enhance productivity and ROI. This role also involves leading tailored demonstrations and training sessions to drive adoption of these solutions.
The Legal Engineer will engage with in-house legal teams to understand their workflows and create tailored LexisNexis AI and workflow solutions to enhance productivity and ROI. This role also involves leading tailored demonstrations, training sessions, and workshops to drive adoption of these solutions.
The Quality Engineer will participate in developing in-house automated and functional test scripts and tooling covering functional, system, API, integration, UI, and regression testing. They will collaborate with various teams to deploy and run automated tests within CI/CD environments and provide timely feedback on test results.
The Salesforce QA Engineer will be responsible for the quality and reliability of Salesforce applications and integrations, including preparing and executing test strategies, test cases, and scripts for various Salesforce clouds. Key duties involve performing functional, regression, integration, and UAT testing, automating regression test cases, and ensuring data accuracy across systems.
The Team Lead will drive the software development strategy at the intersection of PLC systems and cloud infrastructure, leading a team to connect plants, action real-time data, and develop digital solutions like the Remote Plant Operation Cockpit. Key duties include owning fleet management strategy, optimizing OTA updates, leading the design of highly available data infrastructure using time-series databases and streaming solutions, and developing central services.
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The role involves planning, steering, and monitoring packaging activities while considering capacities, material availability, and delivery dates, coordinating interfaces between production, logistics, purchasing, and quality departments. The engineer will ensure timely availability of correct packaging materials and actively optimize packaging processes and material flows to increase efficiency and adherence to schedules.
Engineers will build, implement, and maintain a web-based application using Ruby on Rails and React.js, taking ownership of tasks, resolving problems, and continuously shipping and improving code based on stakeholder feedback.
The Staff Software Engineer will set the technical direction across product areas, making architectural decisions that balance immediate shipping needs with long-term scalability goals. They will own outcomes across teams by identifying high-leverage problems and driving initiatives from ambiguous statements through to production.
The role involves leading the migration of SQL Server and PostgreSQL workloads to Azure SQL Database and Azure SQL Managed Instances, alongside designing, deploying, and supporting PaaS and DBaaS offerings in Azure. Responsibilities also include analyzing and consolidating database instances for optimization and implementing native Azure backup, replication, disaster recovery, and security configurations.
The role involves technical and professional responsibility for designing, implementing, and operating Docker-based environments using OpenShift/Kubernetes, including building and administering Kubernetes infrastructures. Key tasks also include supporting development teams, managing builds, maintaining CI pipelines, and introducing a DevOps strategy for projects and products.
The mission involves developing all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack. Responsibilities include identifying client requirements, deploying solution components, performing testing, troubleshooting post-deployment, and collaborating on GitOps workflows.
The main mission is to develop all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack. Responsibilities involve identifying client requirements, deploying solution components, performing testing, troubleshooting post-deployment, and collaborating on GitOps workflows.
The main mission is to develop all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack, ensuring compatibility with client systems. Responsibilities involve identifying client requirements, deploying solution elements, performing testing and validation, troubleshooting, and collaborating on GitOps workflows.
The main mission is to develop all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack, ensuring functionality and compatibility with client external systems. Responsibilities include identifying client requirements, deploying solution elements, performing component testing, validation, and post-deployment troubleshooting, while collaborating on GitOps workflows.
The Principal Data Scientist will serve as the statistical authority, translating complex data science findings into clear, actionable narratives for executive leadership, including the CEO and Board of Directors. This role involves advancing the state-of-the-art in statistical methods application and raising the communication bar across the entire Data Science organization.
This role involves translating the CEO and Board vision into actionable priorities, OKRs, and execution plans while driving cross-functional initiatives and preparing the CEO for key engagements. Day-to-day tasks include running leadership meetings, tracking accountability, drafting communications, and resolving organizational blockers.
The main mission is to develop all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack. Responsibilities involve identifying client requirements, deploying solution components, performing testing, troubleshooting post-deployment, and collaborating on GitOps workflows.
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The main mission is to develop all necessary tasks for the correct implementation and integration of commercialized products, including deployment on platforms like Kubernetes and OpenStack. This involves identifying client requirements, deploying solution elements, performing testing, troubleshooting post-deployment, and collaborating on GitOps workflows.
The role involves implementing efficient trading algorithms, balancing solution performance with maintainability, and closely communicating technical tasks with the Quantitative Research team. Responsibilities also include writing significant amounts of asynchronous, template, network, and thread-safe code.
The Founding Engineer will help design the core engine for ad delivery within AI experiences and build supporting infrastructure, focusing on high-throughput, low-latency systems processing millions of requests per minute. Responsibilities include developing the ad decisioning pipeline, publisher SDK, delivery infrastructure components, and the real-time observability stack.
The Structural Engineer will develop engineering design solutions by analyzing design intent and collaborating with other disciplines to coordinate the design through all project phases. Duties include designing building components, evaluating design requirements, performing engineering calculations, researching materials and codes, and reviewing shop drawings for adherence to quality controls.
The engineer will architect, build, and operate the hybrid infrastructure foundation for AI/ML research and product development spanning AWS and bare metal data centers. This involves creating a robust, self-service environment using Kubernetes, Terraform, and orchestrating high-demand GPU workloads with schedulers like Slurm.
The Solutions Architect will define the technical blueprint for a 12-week transformation cycle focused on stabilizing and optimizing a complex North American supply chain relaunch for a major client. This involves designing the secure cloud environment, shaping system architecture across data, modeling, and application layers, and ensuring the decision engine is production-ready.
The Solution Architect will play a key role in shaping the design, development, and optimization of Dynamics F&O deployments, while also facilitating smooth migration and modernization to D365 F&O. This involves delivering strategic consulting, design, and advisory services to clients.
The Business Analyst will serve as the crucial link between client operational stakeholders and the technical delivery team, leading requirements gathering and mapping current logistics processes. Key duties include designing testable hypotheses for AI simulations, defining future-state decision logic, and establishing financial baselines.
The role involves designing and implementing Cloud Landing Zones, Container Platforms, and Cloud Native Tools to enable customers to focus on developing innovative digital solutions and modernizing their application landscape. Responsibilities include leading strategic consulting for Cloud technology adoption, specifically Microsoft Azure, and architecting complex cloud solutions considering reliability, security, performance, and cost.
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The Lead Consultant will assume overall technical responsibility for Application, Cloud, and AI solutions, acting as the primary contact for architecture, quality, and implementation. This role involves defining and validating architectures, ensuring quality, security, and scalability, while coaching developers and setting engineering standards.
The director will participate in quarterly board meetings, providing independent strategic guidance to the CEO and leadership team, focusing on data platform strategy and ML-driven product development. Responsibilities include contributing perspectives on structuring and scaling data science teams and evaluating major technical investments.
The manager will build and run an AI Resilience Fund from the ground up, shaping portfolio strategy and leading capital raising efforts with a 20-year investment horizon. Key duties include sourcing, evaluating, and executing investments across asset classes aligned with the resilience thesis and advising fund investors.
The manager will build and run an AI resilience fund from the ground up, shaping portfolio strategy, leading fundraising efforts, and executing investments across asset classes with a 20-year horizon. This involves advising fund investors and partnering with leadership to continuously refine the investment thesis.
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