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 and grow the team responsible for Netflix's source control, artifact, and CI infrastructure. Drive the strategy and development of the next-generation CI platform based on GitHub Cloud and Actions.
Lead the global vision and governance for market data as a strategic enterprise asset to enable AI-driven commercial intelligence. Translate global strategies into scalable business impact across priority markets, specifically the U.S. and Canada.
Provide technical leadership for the administration, operational reliability, and governance of enterprise BI platforms including Tableau Cloud, Power BI, and Microsoft Fabric. Manage day-to-day operations, Tier 2/3 support, and collaborate with security and infrastructure stakeholders to implement institutional standards.
Act as a trusted advisor to customers by leveraging AI Business Process expertise to drive usage and value from Microsoft technology investments. Lead technical conversations and architectural design sessions to transition customers from legacy systems to modern cloud environments.
Lead technical sales and design secure, scalable cloud architectures for commercial customers using Azure services. Act as a trusted advisor to co-develop resilient solutions and drive proof of concepts to achieve business outcomes.
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Lead AI-driven work transformation and strategic change management for global enterprise clients. Architect AI service offerings, drive presales activities, and develop delivery methodologies for AI integration.
The role involves investigating trends in KPIs to uncover performance drivers and creating insightful dashboards for e-commerce and merchandising teams. You will use statistical models for forecasting and collaborate with data engineering to align on methodologies.
Develop and ship customer-facing AI features across the full stack, focusing on LLM-backed flows and polished user interfaces. Own the entire development lifecycle, including building evaluations, guardrails, and monitoring to ensure production readiness.
Manages supplier quality by monitoring QMS maintenance, driving process validation plans, and coordinating corrective actions (CAPA/SCAR). Acts as the primary liaison between suppliers and corporate QA to ensure product quality and efficient mass production transitions.
Design and scale LLM-based backend systems to process massive amounts of unstructured insurance data. Set the technical direction for the Submission Processing team and make critical architectural decisions under ambiguity.
Design and develop software for automated robotic 3D metrology systems, focusing on motion planning, tool pathing, and hardware integration. The role involves creating scalable architectures and APIs to manage multi-modal sensor data and robotic workflows.
Design, develop, and implement scalable Salesforce solutions tailored for nonprofit and higher education clients. Collaborate with stakeholders to gather requirements and provide technical mentorship to junior developers.
The role involves preparing datasets, training and optimizing ML models, and maintaining inference services to improve search and retrieval quality. You will collaborate with cross-functional teams to build AI systems for ranking and recommendations, including LLM workflows.
Design, build, and maintain scalable and reliable software systems while partnering with product teams to balance feature velocity with system stability. Proactively improve resilience and observability through automation and the adoption of modern reliability practices.
Build and maintain agentic research infrastructure, automated analysis pipelines, and distributed training systems. Partner with researchers to scale experiments to frontier-tier models and translate theoretical insights into empirical tools.
Design and deliver onboarding and training programs for legal staff while maintaining SOPs for estate planning practices. Conduct quality assurance reviews of client meetings and documentation to provide constructive feedback and improve firm-wide operational efficiency.
Lead the design and architecture of scalable data processing systems and full-stack features for clean energy software platforms. Act as a technical liaison between stakeholders and mentor junior developers to ensure high-performance system delivery.
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Design, build, and maintain scalable, high-performance software systems for the Smart Sourcing team. Collaborate with cross-functional teams to develop features that optimize talent management and the hiring process.
Lead the architecture and implementation of next-generation AI-first matching systems for search and recommendations. Collaborate with cross-functional teams and senior leadership to drive long-term technical strategy and mentor emerging engineering leaders.
Build and ship AI models for space environment forecasting and operational decision support. Optimize production ML pipelines to ensure accurate and reliable forecasts for satellite and launch operators.
Build and scale the developer community for the OpenClaw Foundation by designing engagement strategies and fostering contributor growth. Act as a public advocate and create technical educational content to establish the platform as the default for open AI agents.
Partner with customers to design, deploy, and scale production OpenClaw systems while building custom integrations and tooling. Contribute reusable improvements back to the open source platform and act as a technical advisor for strategic organizations.
Design and implement advanced analytical solutions and machine learning models to solve complex business challenges. Collaborate with engineering and product teams to integrate data-driven strategies and mentor junior data scientists.
Build customer-facing applications, AI-powered automations, and integrations to solve enterprise security problems. Partner directly with customers to translate requirements into scalable product improvements and internal tooling.
The Automation Service Engineer performs installations, maintenance, and repairs on complex laboratory systems like BD COR and KiestrA. They are also responsible for driving field service revenue through billable offerings and managing customer expectations.
Provide technical sales support and coaching to Account Executives to design and implement complex data network solutions. Act as a subject matter expert to drive the sales cycle to closure through RFP preparation and technical presentations.
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Act as a security expert to help customers understand the Databricks platform security and address concerns during security reviews. Create scalable content such as white papers and slide decks to enable field teams and improve internal processes.
Define the technical strategy and architecture for Databricks' AI security tooling platform, focusing on adversarial testing and threat detection. Lead the development of production-scale capabilities to protect AI components and mentor other engineers on AI security practices.
Design, build, and maintain high-performance backend services and scalable systems using Go and PostgreSQL. Collaborate with cross-functional teams to architect maintainable code and mentor junior developers.
Orchestrate AI agents to rapidly build, test, and ship comprehensive features for a trade school operating system. Architect the automated backbone of the platform while ensuring high quality and alignment with customer needs.
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