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 approve Protection and Control design submissions for National Grid and DNO projects to ensure compliance with engineering standards. Coordinate with contractors and internal stakeholders to mitigate risks and ensure the delivery of safe HV infrastructure.
Lead and approve Protection and Control design submissions for National Grid and DNO projects to ensure compliance with engineering standards. Coordinate with contractors and internal stakeholders to mitigate risks and ensure the delivery of safe HV infrastructure.
Lead and approve Protection and Control design submissions for National Grid and DNO projects to ensure compliance with engineering standards. Coordinate with contractors and internal stakeholders to mitigate risks and ensure the delivery of safe, reliable HV infrastructure.
Lead and approve Protection and Control design submissions for National Grid and DNO projects to ensure compliance with engineering standards. Coordinate with contractors and internal stakeholders to mitigate risks and ensure the delivery of safe HV infrastructure.
Lead and approve Protection and Control design submissions for National Grid and DNO projects to ensure compliance with engineering standards. Coordinate with contractors and internal stakeholders to mitigate risks and ensure the delivery of safe, reliable HV infrastructure.
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Lead complex Citrix logon performance investigations and develop diagnostic methodologies to eliminate root causes of delays. Serve as the technical anchor for the team by creating GPO best practices and mentoring junior engineers.
Design, deploy, and manage cloud infrastructure on Microsoft Azure using Infrastructure as Code and automation-first principles. Build and optimize CI/CD pipelines while collaborating with development, QA, and security teams to streamline release processes.
Manage sales opportunities and leads within Salesforce while supporting the sales organization throughout the opportunity lifecycle. Handle commercial calculations, pricing sheets, and the coordination of bid activities and tender portals.
Design and implement secure, scalable cloud building blocks and automation tooling to enable rapid software delivery. Collaborate with cross-functional teams to optimize microservices performance, security, and cost-efficiency while mentoring developers in a DevOps culture.
Implement key product features and maintain a modular, scalable frontend architecture in collaboration with Product and Design teams. Mentor junior engineers and participate in the full development lifecycle from exploration to production deployment.
Lead multiple engineering teams to scale a next-generation DX SaaS platform while fostering an AI-assisted engineering culture. Improve delivery quality and engineering processes through the implementation of AI workflows and performance metrics.
The specialist will challenge and train advanced AI language models by analyzing Russian linguistic structures and documenting failure modes. Responsibilities include verifying factual accuracy, capturing error traces, and improving prompt engineering metrics.
Build and maintain scalable backend services using Node.js and TypeScript within an event-driven platform. Collaborate with product and design teams to translate user requirements into technical implementations while ensuring code quality through testing and reviews.
Manage a portfolio of enterprise customers to ensure successful adoption, retention, and expansion of AI infrastructure services. Act as a technical partner to optimize training and inference workloads while translating customer needs into product feedback.
Own the full development lifecycle of features for account onboarding and management systems. Design and deploy scalable applications in an AWS environment while collaborating with cross-functional teams to enhance system reliability.
Lead high-impact SAP S/4HANA demonstrations and configure multiple modules to meet prospective client needs. Partner with sales executives to develop solution strategies, value propositions, and RFP responses to drive new business revenue.
Lead the solution strategy and architecture for SAP S/4HANA pre-sales engagements, engaging directly with CIOs and senior stakeholders. Translate complex business requirements into scalable SAP roadmaps and partner with sales leaders to develop winning deal strategies.
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Lead the design, development, and deployment of enterprise-grade AI applications and autonomous agents to transform legal and business workflows. Collaborate with stakeholders to architect scalable solutions on Azure AI Foundry and implement robust DevOps pipelines.
Design, develop, and maintain complex full-stack web applications and scalable data ingestion pipelines for automating enterprise accounting. Collaborate cross-functionally to build internal tooling, customer-facing features, and robust automated testing processes.
Provide technical engineering support to B2C customers by resolving product issues via phone, email, and chat. Bridge the gap between technical product specifications and practical applications while promoting product sales.
The Senior Data Engineer is responsible for designing, managing, and optimizing enterprise data pipelines and database solutions across Azure, SQL Server, and Snowflake. They will build ETL/ELT processes and data warehouse solutions to enable trusted analytics and reporting for various business lines.
Design and maintain a modular, high-performance client-side codebase and a pixel-perfect design system. Integrate complex backend systems and real-time data streams to create intuitive user experiences for a global audience.
Lead the end-to-end process of venture ideation, business model architecture, and market validation for digital ecosystems. Collaborate with founders to guide ventures from initial blueprints to independent execution within the Web3 economy.
Own the end-to-end ML/AI lifecycle from defining success metrics and prototyping to deploying production-ready models. Collaborate with engineering and product teams to automate complex tax and accounting workflows using LLMs and traditional ML.
Design and maintain high-performance, fault-tolerant backend infrastructure and distributed systems to handle global load. Optimize real-time data pipelines, API schemas, and database performance to ensure absolute service reliability.
The specialist will challenge and train advanced AI language models by analyzing Arabic grammar, syntax, and cultural context. Responsibilities include verifying factual accuracy, documenting error traces, and improving prompt engineering metrics.
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Lead the onboarding and implementation of a portfolio intelligence platform for hedge funds and asset managers. Collaborate with clients and internal technical teams to solve complex analytical challenges and improve platform capabilities.
Engage with national security customers to scope technical requirements and prototype AI solutions. Collaborate with cross-functional teams to deploy and tune machine learning models in secure environments.
Develop next-generation weather forecasting systems for India by running regional NWP models and creating large-scale ML-ready datasets. You will integrate physics-based modeling with machine learning to improve nowcasting and extreme event prediction for the renewable energy sector.
Build and improve operational data systems, APIs, and customer-facing features for the medical aesthetics industry. Collaborate with the founder and product team to solve complex data integration problems and ship high-value improvements.
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