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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Participate in end-to-end development of product features across frontend and backend under senior guidance. Integrate AI coding tools into the workflow and contribute to the full product lifecycle from design to deployment.
Own the end-to-end architecture and technical direction of a high-scale B2B payments platform. Lead the design of resilient distributed systems while mentoring senior engineers and establishing engineering best practices.
Lead the development of test automation frameworks across UI, API, and GraphQL layers while integrating AI evaluation frameworks for LLM-powered features. Drive a culture of quality ownership by partnering with engineering teams to implement shift-left testing and optimize CI/CD pipelines.
Lead the development of test automation frameworks across UI, API, and GraphQL layers while designing AI evaluation frameworks for LLM-powered features. Drive a culture of quality ownership by partnering with engineering teams to implement shift-left testing and optimize CI/CD pipelines.
Lead the design, operation, and evolution of central cloud infrastructure and platform services to enhance reliability and scalability. Provide technical leadership and mentorship while driving incident management and observability strategies.
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Participate in end-to-end development of product features across frontend and backend while integrating AI coding tools into the workflow. Contribute to the full product lifecycle from design to deployment under the guidance of senior engineers.
Own the end-to-end development of product features across frontend and backend while integrating AI coding tools to maximize efficiency. Act as a full stack seed to mentor peers and scale AI-augmented development practices across the organization.
Own the end-to-end development of product features across the frontend and backend while integrating AI coding tools to maximize efficiency. Act as a full stack seed to mentor peers and scale AI-augmented development practices across the organization.
Own the end-to-end development of product features across frontend and backend while integrating AI coding tools to maximize efficiency. Act as a full stack seed to mentor peers and scale AI-augmented development practices across the organization.
The role focuses on supporting and optimizing MES-to-PLC integrations and automation system reliability in a high-volume discrete manufacturing environment. Responsibilities include configuring communications, maintaining PLC logic for production reporting, and troubleshooting industrial network issues.
Define the strategic direction and security frameworks for AI systems at scale, including the design of controls for training pipelines and inference endpoints. Lead research into emerging AI threats and establish organization-wide security standards and best practices.
The role involves building and maintaining a scalable infrastructure platform using Kubernetes and automation tools to eliminate toil. Responsibilities include managing the application lifecycle, troubleshooting infrastructure issues, and streamlining delivery pipelines.
Lead the design, implementation, and delivery of scalable Oracle Fusion Sales solutions for global enterprise clients. Collaborate with stakeholders in Taiwan to align technical architectures with business objectives and oversee complex integrations.
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Lead and execute advanced security assessments for client information systems to ensure compliance with FedRAMP, FISMA, and NIST RMF requirements. Perform vulnerability scanning and analysis using tools like Nessus and ACAS while providing expert guidance on secure cloud architecture.
Design polished, user-centric interfaces for mobile and web financial products, transforming requirements into high-fidelity UI and prototypes. Maintain the company's design system and collaborate with engineers to ensure pixel-perfect implementation across various financial services.
Design intuitive, high-fidelity interfaces for AI and financial products across mobile and web platforms. Maintain the company design system and collaborate with product managers and engineers to ensure pixel-perfect implementation.
Serve as the primary relationship lead for AI-enabled drug discovery collaborations and strategic external partnerships. Coordinate cross-functional teams to ensure alignment on scientific, operational, and strategic objectives while managing governance and deliverables.
Act as a trusted advisor to ANZ customers by designing AI-powered DevSecOps solutions and leading technical evaluations. Collaborate with sales and product teams to drive platform adoption and translate customer feedback into product improvements.
Architect and maintain enterprise-scale automated data quality validation frameworks to ensure the accuracy and reliability of healthcare data. Lead data validation strategies and partner with cross-functional leadership to maintain high-trust datasets while mentoring junior engineers.
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The role involves developing innovative communication solutions and crafting personalized customer experiences. The candidate will contribute to a global team to revolutionize how the world interacts using AI and software engineering.
Acts as the primary point of contact for large-scale clients during the discovery and onboarding phase of SaaS implementation. Responsible for gathering business requirements, leading discovery sessions, and mitigating project risks to ensure successful delivery.
The role focuses on building and maintaining a scalable, containerized infrastructure platform to support domestic and international workloads. Key duties include automating infrastructure processes, managing Kubernetes clusters, and troubleshooting issues to minimize downtime.
Architect and implement validation frameworks and automated testing to ensure the accuracy and reliability of enterprise data products. Collaborate with engineers to embed quality controls into CI/CD pipelines across ingestion and transformation layers.
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