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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Design and implement AI-native backend and fullstack systems incorporating LLMs and agentic workflows to solve healthcare product problems. Collaborate with product and design teams to evolve the platform toward an agent-driven future while ensuring system reliability and scalability.
Maintain and support a large payroll application and manage the database environment. Design, develop, and modify software systems while coordinating installations and ensuring software standards are met.
The VAT Tech Lead is responsible for designing and validating VAT and indirect tax data flows across multiple systems and jurisdictions. They translate complex VAT requirements into actionable data logic and ensure compliance through rigorous testing and documentation.
Lead the architectural design and migration of legacy SQL Server systems to a cloud-native Databricks Lakehouse platform. Define migration strategies for complex stored procedures and implement high-performance distributed processing frameworks.
The role involves the deployment, configuration, and integration of Armis and ServiceNow platforms for enterprise clients to improve asset visibility and risk reduction. Responsibilities include designing architectures, developing automation workflows, and advising clients on identity security programs.
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Develop and enhance the SAP Solution Extension for strategic procurement in collaboration with SAP SE. Provide technical support for implementation projects and assist in pre-sales activities through prototyping and technical argumentation.
Build and maintain the data infrastructure, including BI integrations, pipelines, and dbt models to provide actionable insights. Partner with GTM, marketing, CX, and engineering teams to translate business needs into reliable analytics assets.
The SRE will focus on the reliability, scalability, and performance of production systems by applying software engineering principles to operations. Key tasks include automating operational toil, defining SLOs/SLIs, and managing containerized cloud infrastructure.
Develop and maintain enterprise-wide data literacy, analytics, and AI training curricula for clinical and non-clinical users. Deliver engaging virtual and in-person training sessions while creating multimedia assets using modern instructional design tools.
Implement AI governance frameworks and ensure enterprise compliance with the EU AI Act and other regulations. Develop policies across the AI lifecycle to ensure responsible, transparent, and secure AI deployment.
Develop modern UI5 dialogs and integrate material flow systems into SAP EWM to connect automation technology in warehouse environments. Implement BADIs to extend standard functions and manage interfaces to third-party SAP and non-SAP systems.
Design and maintain interactive, user-centric web applications focusing on front-end technologies and AI-driven functionalities. Collaborate with cross-functional teams to integrate chatbots, personalized recommendations, and optimize performance.
Design, implement, and optimize software solutions within the Cyara portfolio to meet market needs and functional criteria. Responsibilities include developing scalable systems architecture, mentoring junior engineers, and integrating AI-driven development workflows.
Define and implement reliability strategies using SLIs, SLOs, and Infrastructure as Code to ensure high availability of cloud-native systems. Lead incident response, reduce operational toil through automation, and collaborate with development teams to optimize system architecture.
Own the end-to-end implementation of real-customer AI solutions based on direct product feedback. Partner across teams to build technical solutions and conduct live customer discovery conversations.
Own the end-to-end implementation of real-customer AI solutions based on direct product feedback. Conduct live customer conversations to identify business issues and build corresponding offline solutions.
Define high-level SoC subsystem architecture for LPU products and convert requirements into detailed architectural specifications for uncore and I/O. Collaborate with IP and software teams to build functional models and drive tradeoffs in bandwidth, power, and latency.
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Lead the AI product strategy to build investor-facing tools, including AI agents and Model Context Platforms. Collaborate with engineers and hedge fund clients to translate frontier AI capabilities into production-grade financial research workflows.
Drive the implementation of AI-first workflows and agents across various organizational functions to increase efficiency. Act as an internal consultant to audit manual processes, build production-grade AI tools, and coach teams toward AI self-sufficiency.
The role serves as a liaison between departments to provide technical support, reporting, and analysis for financial systems in NetSuite. Responsibilities include configuring ERP workflows, maintaining data integrity, and managing integrations with platforms like Stripe and Rippling.
Lead the architectural design and implementation of scalable cloud-native and hybrid environments, specifically focusing on GCP and GDC. Bridge the gap between high-level vision and engineering by implementing SRE best practices and providing technical consulting for clients.
The role involves managing legal documentation, contracts, and administrative operations while coordinating workflows between lawyers and clients. It also requires handling high-volume client communications via phone and email to ensure prompt responses and case progress.
Define and drive the ML technical roadmap for Live Ads, focusing on forecasting, targeting, and yield optimization. Collaborate across teams to architect and deploy large-scale ML solutions that improve ad quality and performance.
The role focuses on implementing and optimizing AI-powered capabilities to improve customer support scalability and efficiency. This includes translating business needs into technical AI solutions and monitoring performance metrics to drive continuous improvement.
Design and build analytic solutions to inform business decisions and measure clinical and financial outcomes. Partner with stakeholders to implement reporting technologies and evaluation frameworks using the Google tech stack and DBT.
Manage and maintain the Salesforce environment for Carey Business School, including technical development and platform administration. Collaborate with stakeholders to translate business requirements into functional specifications and scalable Salesforce solutions.
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Lead analytical partnerships for store-growth decisions, including location selection, market potential estimation, and performance measurement. Translate complex forecasts into executive-ready business recommendations and establish standardized analytical methodologies for store investments.
Lead complex diagnostic and exploratory analyses to identify root causes of store performance and drive strategic decision-making. Develop scalable Power BI dashboards and analytical frameworks to improve sales, productivity, and operational effectiveness.
Support developers building with LiveKit by triaging bugs, writing sample code, and updating technical documentation. Collaborate with Sales and Partnerships teams to ensure customer success and product adoption.
Lead complex blockchain investigations to trace ransomware proceeds and identify threat actor infrastructure. Produce actionable intelligence reports and attribution assessments to support the disruption of cybercrime networks.
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