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 engineer will oversee metering systems across renewable project development, design, construction, and commissioning phases. This role requires ensuring metering requirements align with commercial agreements through close coordination with internal and external teams.
Design and develop full-stack applications for programmatic advertising workflows utilizing React, Node.js, and Python, while building and maintaining integrations with major SSPs and DSPs. Responsibilities also include implementing and optimizing Prebid configurations, developing OpenRTB-compliant handling, and ensuring compliance with privacy frameworks.
The role involves continuously improving existing machine learning models by incorporating new features and parameters, and developing scalable supervised and unsupervised learning algorithms in collaboration with the Machine Learning Engineering team. Responsibilities also include exploring new data sources, researching innovative ML solutions to optimize the value chain, and regularly conducting and evaluating A/B tests.
The HR Manager will lead core HR initiatives while designing systems, automations, and AI agents to improve the efficiency and impact of the People function. Key duties include developing people strategies, innovating with AI and automation in HR processes, championing employee experience, and ensuring compliance and effective talent operations.
The role involves designing, implementing, and operating a unified MLOps platform supporting both on-premise Kubernetes and AWS environments to enable rapid onboarding of Agentic AI services. Responsibilities include developing CI/CD pipelines, building observability stacks, and creating self-service tooling for data science teams.
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This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Responsibilities include architecting reference pricing systems, building the supplier intelligence layer, and establishing the canonical source of truth for revenue and margin.
This role involves building and leading the intelligence and reconciliation backbone for travel transactions across Flights, Hotels, Cars, and Ancillaries, owning systems that define pricing intelligence and financial truth. Responsibilities include owning the end-to-end strategy for pricing intelligence and financial reconciliation, architecting reference pricing systems leveraging predictive modeling, and driving cross-functional execution.
The role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. This includes architecting reference pricing systems, building the supplier intelligence layer, and governing the canonical source of truth for revenue and margin.
This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. The manager will architect and evolve reference pricing systems leveraging predictive modeling and build the supplier intelligence layer transforming transactional data into automated performance signals.
This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals, including architecting reference pricing systems leveraging predictive modeling and anomaly detection. The individual will also establish the canonical source of truth for revenue and margin, and drive cross-functional execution to deliver production-grade, model-integrated infrastructure.
The role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. This includes architecting reference pricing systems, building the supplier intelligence layer, and establishing the canonical source of truth for revenue and margin.
The role involves leading backend development for a Wagtail CMS implementation, focusing on scalable architecture, customizing Wagtail internals like StreamFields, and owning deployments on Google Cloud Platform. Responsibilities also include close partnership with frontend engineers to enable complex component-driven UI patterns.
The role involves designing complex solutions based on SAP S/4HANA and SAP Business Technology Platform (BTP) using modern technologies, while actively contributing ideas to product development with direct influence on the SAP standard. Key tasks include the technical design of proprietary add-ons and custom client solutions, project implementation support, and consulting stakeholders on technical matters.
The developer will be responsible for building, enhancing, and maintaining modern front-end applications using Vue 3 and Nuxt 3, focusing on creating fast, accessible, and SEO-optimized user experiences. Key tasks include leveraging Server-Side Rendering (SSR), integrating with REST APIs, applying modern development practices, and contributing to architectural decisions.
The primary responsibility involves reviewing text-to-speech (TTS) rendered output to ensure it accurately matches the approved source script and adheres to all required formatting and structural guidelines. This role is strictly limited to reviewing and flagging issues, with no content creation or editing tasks involved.
The Senior Data Engineer will analyze, design, and develop solutions focused on data engineering and ETL workflows, collaborating with stakeholders to understand business needs and guide outcomes. This role involves driving the organizational data strategy, establishing data engineering standards, and leading the creation and maintenance of technical documentation and architecture diagrams.
The Design Engineer supports clients from concept through delivery by understanding requirements, developing system designs, and providing technical leadership across the project lifecycle. This role involves translating concepts into detailed designs, supporting implementation, and acting as a technical authority while collaborating with multiple stakeholders.
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The role involves designing, developing, implementing, and debugging vision control systems, equipment, and PLC software to drive innovation and improve efficiencies, safety, and quality across global assembly plants. Responsibilities also include providing global support for existing vision equipment and managing projects from technical specification through startup.
The Senior Engineer will own the technical health and architectural evolution of critical Java backends, acting as the anchor for complex 3-tier architectures and SQL databases. Key duties include leading robust Java development, designing RESTful integrations, managing SQL environments, and elevating team output through mentorship and code reviews.
The engineer will design, demonstrate, and deploy Oracle Cloud architectures to solve customer business problems, driving service adoption. This includes implementing solutions through code development and scripting, and supporting customers from Proof of Concept through production.
The role involves providing technical support, configuration, and troubleshooting for client issues related to the Sumsub platform, requiring technical analysis of problems and defining resolution plans. This includes daily interaction with engineers for escalations and collaborating with other teams to answer client technical questions via chat, email, and calls.
The engineer will own the end-to-end pipeline for safety-critical ML perception models, focusing on enabling the vehicle to accurately see, classify, and track environmental elements like road markings and vulnerable road users. Key tasks include designing and deploying deep learning models for 3D object detection, sensor fusion, and optimizing performance for real-time embedded hardware.
The developer will be responsible for building, maintaining, and improving the React.js web application and designing, implementing, and maintaining ASP.NET Core services and APIs. Key tasks include collaborating on end-to-end feature delivery, debugging performance, working with databases, and participating in architectural decisions.
The consultant will conduct a comprehensive review of the existing Dynamics 365 Human Resources implementation, assessing configuration across core HR areas and evaluating alignment with business requirements. Key outputs include providing actionable recommendations for system optimization, process improvements, and delivering a clear assessment report and roadmap to stakeholders.
Design and execute software development workflows leveraging AI agents for various tasks while building and improving internal tools and automation layers that enable these agents to operate effectively. The role involves end-to-end development, rigorous Git ownership, terminal-first execution, and managing secure developer operations across applications and infrastructure.
The role involves building and maintaining the contract and service stack that defines insurance coverage, pricing, and contractualization for members across multiple countries. This includes powering self-serve subscription flows and managing contract lifecycles while ensuring legal compliance and responsible consumption.
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The primary duties involve preparing and submitting all billing and invoicing, inputting accounting data, and preparing and reconciling bank deposits and cash. Responsibilities also include recording AP/AR transactions, maintaining payment records, and verifying account discrepancies.
![Smart Working Solutions is hiring for remote Machine Learning Engineer (Mid/Senior) (Remote, Full-Time) [AS221]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
The Machine Learning Engineer will be responsible for driving the development and integration of AI capabilities by building end-to-end ML solutions, from data modeling through to system deployment. Key tasks include automating complex processes, translating business problems into scalable ML solutions, and promoting machine learning best practices across the organization.
The role involves designing, building, and maintaining scalable backend services and event-driven systems primarily using Go, Kafka, and Temporal within containerized environments. Responsibilities also include driving architectural decisions, owning code in production, and collaborating cross-functionally to deliver high-impact solutions.
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