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 develop, test, and deploy mobile features using Kotlin and Compose Multiplatform, contributing to building intuitive UI and reliable business logic. They will also collaborate with product managers, designers, and engineers to deliver features end-to-end and support production systems.
The engineer will develop, test, and deploy mobile features using Kotlin and Compose Multiplatform, focusing on building intuitive, responsive UI and reliable business logic. They will collaborate with product managers, designers, and other engineers to deliver features end-to-end while maintaining high code quality standards.
This role involves architecting and building an AI-native finance operating system, spanning immediate production automation deployment and long-term architectural redesign for scalability. Responsibilities include assessing current finance operations, designing the agentic platform, deploying production automation for tasks like reconciliations and reporting, and establishing AI governance frameworks.
The engineer will be responsible for owning and delivering backend features end-to-end, spanning API design through deployment, while solving complex problems related to video generation pipelines, AI integrations, and billing systems. They will also actively shape the architecture of core services and contribute to a codebase prioritizing long-term maintainability.
The engineer will be responsible for owning and delivering backend features end-to-end, spanning API design through deployment, while solving complex problems related to video generation pipelines, AI integrations, and billing systems. They will also actively shape the architecture of services powering core product workflows and contribute to a highly maintainable codebase.
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The role involves building agentic systems capable of reasoning, planning, and executing multi-step tasks reliably within the AI-driven media pipeline. Responsibilities include designing and deploying LLM-based services, developing video/image intelligence pipelines, and shipping scalable inference pipelines on cloud infrastructure.
The role involves designing and implementing fraud detection and prevention flows, working deeply with risk signals, rules, scoring, and decision-making logic using SEON as a core product. Key tasks include building and maintaining anti-fraud orchestration within complex systems and making independent technical decisions on SEON integration.
This is a hands-on engineering leadership (IC) position where the engineer partners with Directors to shape technical and product direction across multiple squads (30-70+ engineers). Responsibilities include being hands-on in coding and architecture, leading complex systems design, and setting a high bar for technical excellence across the collective.
The engineer will be responsible for managing and improving the AWS infrastructure using Terraform, maintaining and scaling Kubernetes clusters including GPU node pools, and contributing to the Cilium-based networking layer. They will also build CI/CD pipelines with Buildkite and manage deployments via ArgoCD.
The Integration Developer will lead the development effort for both internal and external integrations connecting Endpoint's and partner systems, requiring understanding design documents to write deliverable integration solutions. Responsibilities include ongoing interaction across departments on best practices, converting requirements into technical solutions, and managing projects from requirements through launch, including testing and deployment.
The engineer will review and refine AI-generated content related to MLOps workflows, automation, monitoring, and deployment to ensure technical validity and industry best practices. This includes drafting realistic scenarios and assessing AI reasoning across various operational aspects of machine learning.
The Senior Business Analyst is responsible for ensuring solutions meet business needs by articulating problems and processes clearly to all stakeholders, both business and technical. This role involves facilitating the analysis and design of cost-effective software solutions that impact users globally.
The role involves serving as the primary architect and builder of AI-powered solutions within the Compliance team, requiring full-stack ownership from identification to deployment and governance. Responsibilities include designing and deploying agentic workflows using specific tools to automate priority Compliance use cases like alert pre-screening and regulatory change summarization.
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.
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.
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.
This role involves leading the technical design and architecture for a Dynamics 365 F&SCM implementation, ensuring solutions are scalable, secure, and adhere to Microsoft best practices. Key duties include defining solution architecture, governing integrations, providing hands-on guidance in X++ and extensions, and overseeing customisations and third-party integrations.
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The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products through to production, including experimentation with new agentic reasoning approaches.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products through to production, including training, evaluation, and deployment.
The Senior Developer Experience Writer will focus heavily on AI integration, setting up foundations for engineers to produce first-class documentation at scale using AI for automation and quality checks. Responsibilities also include defining and upholding content standards, building educational content templates, empowering engineers to write great content, and shaping the documentation platform's structure and tooling.
This role involves researching and developing techniques to optimize key Cloud and HPC CPU workloads specifically on NVIDIA's CPU, requiring in-depth analysis for current and future generations. Responsibilities also include engaging with the developer community, guiding framework developers, and contributing directly to their software stack or developing reference code.
This specialist will coordinate internally and externally to track, report, and foster all aspects of the Google partnership across EMEA, ensuring the execution of the strategic vision. Key duties include managing regional pipeline, tracking GTM programs, creating performance dashboards, and managing funding programs like PSF/DAF.
This role involves architecting, designing, and implementing core components within COBOL development tools and mainframe replatforming infrastructure while providing technical direction across multiple engineering teams. The engineer will also own complex technical domains end-to-end, conduct deep code reviews, and mentor other engineers in system-level design.
The Senior Data Platform Engineer will architect, build, and scale the data platform, empowering teams with self-serve capabilities by owning data transformation, orchestration tooling, batch/streaming infrastructure, and the Datalake. Key duties include championing data as a product through robust capabilities, leading complex technical initiatives, upholding operational excellence via automation, and mentoring others.
The role involves leading technical discovery for strategic opportunities, designing and executing Proofs of Concept (POCs) to prove value, and building lightweight prototypes using Deepgram's APIs and SDKs. Responsibilities also include advising on architecture for performance and cost, managing security and compliance threads common in EMEA, and creating reusable technical assets.
The Solutions Architect will lead architecture and implementation for enterprise deployments utilizing Deepgram's voice capabilities, owning post-sales technical success, unblocking integrations, and serving as the Tier-3 escalation point for complex issues. This role also involves designing reference architectures for common EMEA use cases, building reusable assets, and partnering with Product and Engineering based on customer feedback.
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Builders are sought to take customer problems from initial idea through to production deployment across the entire technology stack. The role focuses on leveraging AI to write code, shifting the bottleneck to strategic thinking, and shipping meaningful, end-to-end solutions.
The role involves developing novel Machine Learning and Deep Learning methods for medical image analysis, including segmentation, detection, and outcome prediction, while ensuring these methods are scientifically rigorous and clinically meaningful. Responsibilities also include publishing findings in top-tier venues and collaborating with clinicians to translate research into validated outputs for production engineering and regulatory submissions.
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