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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Develop and scale the web platform's content management architecture using both front-end and back-end services. Collaborate with product teams and architects to design and implement the technical roadmap within an Agile Scrum environment.
The role focuses on securing technical wins by architecting scalable solutions and acting as a trusted advisor for large enterprise customers. It involves driving product innovation through customer feedback and collaborating cross-functionally to accelerate business growth.
Implement customer projects focusing on clusters, containers, automation, and CI/CD solutions. Design cloud services according to architecture guidelines and maintain cloud platforms while providing technical support to junior engineers.
Lead demanding customer projects focusing on custom cluster, container, automation, and CI/CD solutions. Design and optimize container platforms while providing technical coaching and long-term support to clients.
Lead technical engagements and customized demonstrations to match client needs with the SaaS platform's capabilities. Collaborate with product teams to translate customer feedback into feature enhancements and manage the end-to-end delivery of product trials.
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Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric to power self-serve analytics. Design AI-powered tools and data pipelines while mentoring a cross-functional team of data engineers and analysts.
The CTO will define the long-term technical architecture for AI systems and infrastructure while building a global engineering organization from the ground up. They will lead technical execution, establish engineering standards, and align workstreams across product and research teams.
The role involves defining end-to-end AI system requirements and translating model capabilities into product decisions. The manager will collaborate with engineers to balance quality, latency, and cost while owning the overall product quality and user trust.
Lead the engineering strategy and execution to transform Machine Learning capabilities into reliable user experiences across backend, mobile, and desktop platforms. Manage a senior applications team while setting the architectural direction for AI-powered workflows and APIs.
The VP of Research will lead the intelligence direction of the system, defining how AI reasons, evaluates, and improves. They will oversee model architecture decisions, evaluation frameworks, and the overall alignment and safety strategy.
Build end-to-end product features and design agent workflows that handle planning, tool use, and recovery. Integrate LLMs and external tools to create reliable, production-grade AI systems with low latency.
Build and improve core ML components across data, training, evaluation, and inference for real production systems. Debug model issues and iterate on features based on real-world user feedback and production constraints.
Architect and build large-scale ML systems covering training, inference, and deployment. Set technical standards for ML infrastructure and optimize GPU performance for production-grade systems.
The role involves translating research into scalable, production-grade ML systems and owning the end-to-end execution of data pipelines and inference architecture. You will be responsible for fine-tuning models and optimizing GPU performance to ensure reliability and low latency in real-world products.
The role involves building and owning critical machine learning subsystems from data preparation to production deployment. You will collaborate cross-functionally to turn research ideas into scalable, reliable AI products while mentoring other engineers.
The Director of Quality Operations provides technical leadership for the administration and improvement of the Quality Management System. They ensure all development and commercial operations comply with company standards and global regulatory requirements.
The Software Engineer will build and maintain cross-platform desktop applications using Electron, focusing on reliability and real-time performance. Responsibilities include integrating AI-powered features and optimizing system behavior across macOS and Windows environments.
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Own the end-to-end execution of ML systems, translating research into scalable production-grade solutions. Responsible for data pipelines, model fine-tuning, and optimizing inference systems for latency and cost.
Develop and debug kernel-level C code and eBPF programs for network segmentation and security enforcement across Linux and Windows. Act as a technical lead by mentoring engineers, reviewing critical code, and guiding technical direction for AI-DR initiatives.
Define system architectures and lead the collection of operational concepts for the modernization of AMO platforms. Coordinate integration activities across engineering domains and provide technical documentation to inform leadership decision-making.
Design, implement, and optimize complex enterprise network environments to ensure reliability, security, and scalability. Troubleshoot complex incidents, perform root cause analysis, and maintain technical documentation and security controls.
Design and build a next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times. Develop automation toolkits for firmware management and integrate VPC networking for bare metal instances.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for correctness and ensure alignment between specifications and code outputs.
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Design, build, and maintain scalable backend services and integrations within a microservices-based, event-driven architecture. You will own features from start to finish, managing high-volume data ingestion and exposing APIs for customers and internal UIs.
Lead the end-to-end delivery of product and platform initiatives, from architectural design to production deployment. Set engineering standards and provide technical mentorship while balancing immediate delivery with long-term scalability.
Manage the digital measurement and tracking ecosystem, focusing on GTM, GA4, and conversion tracking across paid media platforms. Develop client-facing dashboards in Looker Studio to provide actionable performance insights and ROI analysis.
Design and deliver identity management and workplace security solutions for enterprise and public sector clients. Act as the technical authority for Microsoft Security engagements, providing guidance to consultants and managing complex deployments.
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