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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The Director of Developer Platform Engineering will define the strategy and roadmap for platforms and tooling that power software delivery across the organization. They will lead the developer experience vision, enabling hundreds of engineers to build, test, and deploy software more efficiently through automation and AI-powered enablement.
The Senior Network Security Engineer will design, implement, and optimize enterprise network security solutions across on-premises and cloud environments. This role also serves as a senior technical escalation point for complex security incidents and provides leadership to engineering teams.
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Design, develop, and maintain secure, scalable backend applications using .NET Core while integrating AI tools to enhance performance and efficiency. Contribute to architectural discussions, mentor developers, and advocate for secure coding practices across both frontend and backend systems.
Design, develop, and optimize automation for CI/CD pipelines to enable faster and safer releases for R&D teams. Build and maintain advanced monitoring, alerting, and fault-tolerance systems while collaborating with developers and architects.
Design, develop, and optimize automation for CI/CD pipelines to enable faster and safer releases for R&D teams. Build and maintain advanced monitoring, alerting, and fault-tolerance systems to ensure proactive issue resolution.
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The Director of Business Intelligence will lead the optimization of go-to-market data visibility and drive AI adoption across Sales, Marketing, and Customer Success teams. They are responsible for managing data migration, establishing a trustworthy data platform, and proactively designing strategic reporting to improve business outcomes.
The Lead Software Engineer will architect and design digital products while managing their lifecycle in production to ensure KPI success. They will also coach teams on modern development practices like paired programming and test-driven development.
Design and develop software architecture for web applications and develop software codes for GPO security. Integrate mission-critical systems and perform unit, system, integration, and performance testing.
The AI Applications Engineer will design, execute, and operationalize fine-tuning workflows for large language models using various learning approaches. They will collaborate with cross-functional teams to translate requirements into engineered solutions while maintaining high standards for code and design.
Design, train, and deploy reinforcement learning systems for complex decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions in production environments.
The Data Platform Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production. Responsibilities include managing request routing, batching, caching, autoscaling, and ensuring end-to-end observability across diverse model workloads.
The AI Research Engineer will design and ship advanced machine learning systems that bridge cutting-edge research with production engineering. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to deployment and continuous improvement.
The AI Infrastructure Engineer will focus on maximizing throughput and minimizing latency for large neural network systems. They will collaborate with cross-functional teams to translate requirements into optimized, well-engineered solutions for production AI workloads.
The Senior AWS Consultant will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, infrastructure-as-code, automation, and continuous operational improvement of production workloads.
You will lead the architecture and orchestration of scalable ML pipelines, focusing on high-performance training for fraud detection models. Additionally, you will mentor team members and drive cross-functional initiatives to optimize ML infrastructure and data quality.
The Medical Director will lead clinical AI model training, testing, and surveillance, focusing on utilization management and evidence-based clinical criteria. This role serves as the primary clinical authority for guideline interpretation and collaborates with data science and AI teams to modernize clinical programs.
The Network Support Engineer will resolve highly complex network-related incidents and perform advanced diagnostics across various infrastructure components. They will also contribute to root cause investigations, maintain technical documentation, and provide guidance to the broader support organization.
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The Site Reliability Architect will define and implement the observability and reliability strategy across all platforms and services. They will collaborate with engineering teams to ensure system resilience, lead incident response efforts, and mentor staff on best practices.
The Solution Architect will own the technical design, configuration, and integration of Oracle Projects and G-Invoicing within a federal financial management system. They are responsible for translating requirements into technical specifications, managing system testing, and providing hypercare support for production deployment.
Develop and maintain intuitive, user-friendly web interfaces and scalable backend systems to support customer data workflows. Collaborate with cross-functional teams to implement observability tools and optimize platform performance.
The role involves designing, developing, and improving machine learning models for 3D perception systems within an autonomous driving stack. You will own the end-to-end model development process, from data preparation and training to integration and performance optimization.
The Principal Data Scientist will lead the development of digital pathology AI models to predict clinical outcomes and pathological features. They will also coordinate cross-functional team efforts, manage project execution, and collaborate with internal and external experts to build evidence for model utility.
You will build and improve frontend-focused applications using React and .NET to enhance user experience and platform accessibility. You will collaborate with cross-functional teams to translate product requirements into reliable, maintainable software solutions.
You will build and maintain AI-powered healthcare infrastructure, working across the full stack to develop voice and AI agents for clinical workflows. You will partner with product and design teams to turn business problems into production-ready solutions while ensuring high standards for reliability and safety.
You will own the technical health and architectural evolution of mission-critical web application frontends. Responsibilities include leading React development, optimizing performance, and mentoring junior engineering team members.
The lead will manage the integration between a federal client's Financial Management Support System and the U.S. Treasury G-Invoicing platform. Responsibilities include configuring transaction flows, performing system testing, and ensuring successful deployment and hypercare support.
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Lead the functional delivery of Oracle Projects and G-Invoicing for the U.S. Department of Education's financial system. Facilitate stakeholder workshops, manage requirements, and oversee configuration, testing, and deployment activities.
The GTM Engineer designs, builds, and optimizes scalable systems, automations, and data infrastructure to support revenue teams. They collaborate with GTM Strategists to translate business requirements into technical solutions using HubSpot and other modern GTM tools.
Lead technical implementations and drive the adoption of Chainguard images to help customers build secure software. Collaborate with account teams and product engineering to ensure high-quality onboarding and address customer requirements.
The Sr. Security Engineer is responsible for testing physical and logical security, managing incident response, and operating security operations technology like SIEM and EDR. They will also identify threats, develop countermeasures, and contribute to process improvement and automation within the security operations center.
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