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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You will design, develop, and maintain Go-based backend services and CLI tools to improve internal developer experience and automate operational workflows. Additionally, you will implement governance-as-code and build self-service infrastructure to ensure engineering standards are met at scale.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists to optimize infrastructure and develop the dataset roadmap for future products.
The role involves managing data collection and operating cloud infrastructure to support large-scale model training operations. You will collaborate with scientists and leadership to develop the dataset roadmap for next-generation AI products.
Lead the design, architecture, and development of native Windows desktop applications using the Windows App SDK and related frameworks. Collaborate with cross-functional teams to ensure high-quality, accessible, and performant software releases.
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The Senior iOS Engineer will lead key engineering and product decisions while actively shipping production code for the Speechify iOS app. They will collaborate within a dedicated product team to enhance app architecture and shape the product roadmap.
You will collaborate with consultants and architects to design and deliver scalable Salesforce solutions while participating in client discovery sessions and technical workshops. Additionally, you will develop solutions using Apex and Lightning Web Components, manage integrations, and contribute to technical documentation and deployment processes.
Define and execute the QA strategy for backend services, APIs, and critical product workflows while collaborating with developers and product teams. You will design and maintain test plans, perform backend testing, and contribute to test automation initiatives to ensure high-quality software delivery.
Develop thought-leading research and strategic advice on emerging technologies in AI data security and identity management for global clients. Engage with clients through meetings, presentations, and inquiries to provide actionable insights and support their business objectives.
Design and develop solutions on the Pega platform while providing technical leadership to the development team. Ensure the quality, scalability, and maintainability of applications while mentoring other developers.
You will own the full owned-channel lifecycle, building email, WhatsApp, and in-app programs to convert, activate, and retain customers. You will also audit and optimize existing HubSpot workflows and data segmentation to improve lead-to-customer conversion rates.
The developer will build and maintain automations, data integrations, and multicanal journeys using Salesforce Marketing Cloud. They are also responsible for platform maintenance, performance optimization, and resolving complex technical incidents.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Lead Software Engineer will act as the technical lead for high-value services, managing direct client communication and defining robust, scalable architectures. They will also lead technical strategy, mentor multidisciplinary teams, and participate in pre-sales activities and solution design.
Participate in a development team for a major client in the textile sector working as a backend Java developer. Responsibilities include building and maintaining microservices using Java and AWS technologies.
The Process Engineer will optimize warehouse processes, logistics performance, and end-to-end operational efficiency. They will also lead change management initiatives, train warehouse teams, and conduct financial impact analyses for improvement proposals.
The Site Reliability Engineer will design, implement, and maintain scalable cloud infrastructure while ensuring the reliability and performance of distributed database systems. They will also collaborate with development teams to automate operations and improve CI/CD pipelines using Golang.
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The Solutions Architect will act as a technical lead for high-value projects, managing direct client communication and defining end-to-end technical solutions. They will also collaborate with business development on pre-sales activities, PoCs, and the promotion of best practices within development teams.
Act as a technical lead for high-value projects, defining strategic plans and implementing AI-driven architectures. Provide expert guidance to clients on Generative AI adoption, including MLOps, LLMs, and regulatory alignment.
Design, develop, and maintain continuous integration and delivery pipelines using Jenkins and GitLab. Collaborate with development teams to ensure code quality, security, and efficiency throughout the software development lifecycle.
The role involves managing biomarker data pipelines, maintaining R packages, and ensuring data quality through rigorous validation and version control. Additionally, the scientist will support project tracking and develop AI-assisted coding standards to enhance team workflows.
The role involves improving production reliability and system resilience while championing DevOps and SRE best practices. You will participate in on-call rotations, incident response, and collaborate with global teams to maintain secure and scalable infrastructure.
You will develop measurement strategies, define KPIs, and implement tracking systems to ensure accurate data collection for digital marketing initiatives. Additionally, you will analyze performance data to build interactive dashboards and deliver strategic recommendations to clients.
You will lead the evolution of the frontend architecture and establish scalable patterns for the Collate platform. Additionally, you will mentor engineers and collaborate across teams to deliver high-quality, intuitive user experiences.
The AI Engineering Lead will design, build, and scale intelligent solutions and automated workflows to improve operational efficiency and farmer impact. They will also lead the full lifecycle of AI-enabled projects while mentoring a team of engineers to drive organizational adoption of new technologies.
The architect designs and governs a scalable, AI-enabled SharePoint platform to manage training and enablement content. They collaborate with cross-functional teams to integrate AI capabilities and ensure content compliance, discoverability, and quality.
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You will own end-to-end business analyses, from framing problems and building financial models to presenting actionable recommendations to the executive team. Additionally, you will act as an operator to unblock processes, coordinate cross-functional initiatives, and improve overall business operations.
The Senior Customer Success Engineer acts as the primary technical owner for enterprise accounts, driving onboarding, adoption, and long-term customer outcomes. They are responsible for conducting recovery simulations, managing churn risk, and delivering resilience assessments to ensure measurable value for customers.
The lead will manage global AI certification schemes and ensure compliance with international standards and regulations like the EU AI Act. They will also provide technical expertise to internal teams and represent the company in AI forums and stakeholder working groups.
The developer will be responsible for creating, configuring, and optimizing digital marketing campaigns within the Salesforce Marketing Cloud platform. They will also manage data structures, automate communication flows, and analyze campaign performance metrics.
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