3,871 Software Engineering jobs available for remote work from home. Apply for positions such as Principal Full Stack Engineer (React, TypeScript, AWS, AI-Assisted Development), Senior Python Engineer, Music Transcription & Computational Audio Expert (Python), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will architect and deliver modern digital products while leading technical strategy and collaborating directly with clients. The role involves guiding engineering teams, making architectural decisions, and integrating AI-assisted tools into development workflows.
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You will contribute to the platform architecture, technical strategy, and modernization initiatives while driving engineering standards. Additionally, you will mentor team members and champion AI-assisted development practices to improve productivity and quality.
The engineer will design and build scalable software solutions, developer tools, and SDKs for AI hardware platforms. They will also implement and optimize CI/CD pipelines, deployment automation, and production readiness processes.
Design, develop, and maintain scalable web applications and APIs using Python, React, and modern cloud infrastructure. Utilize AI coding agents to accelerate development while ensuring code quality through rigorous testing and documentation.
Design, develop, and maintain backend services using Python and FastAPI while collaborating with cross-functional teams to deliver end-to-end solutions. Manage containerized deployments, CI/CD workflows, and ensure system scalability and performance in a customer-facing delivery role.
The Principal Engineer leads the Developer Experience organization by defining technical strategy and driving the adoption of modern engineering tools and AI-assisted capabilities. They partner with cross-functional teams to reduce friction, improve developer productivity, and ensure the delivery of secure, scalable software solutions.
You will improve the reliability, observability, and scalability of shared infrastructure and product services while helping teams own their systems in production. This involves defining reliability targets, automating operational tasks, and facilitating incident response to ensure high availability.
The AI Engineer will collaborate with stakeholders to translate business needs into production-ready AI/ML solutions and manage data infrastructure. They are responsible for building scalable APIs, monitoring model performance, and integrating advanced techniques like Generative AI into business applications.
Design and build highly scalable backend services, distributed systems, and API infrastructure for the automation platform. Collaborate with cross-functional teams to deliver high-performance solutions and maintain high-quality code.
Design and own the architecture of scalable test automation frameworks using C#/.NET and Playwright. Integrate automated testing into CI/CD pipelines and drive automation for complex, distributed telecommunications systems.
You will own the end-to-end machine learning systems, managing the lifecycle from data and training to deployment and inference. You will collaborate with research and application engineering teams to translate model capabilities into reliable, scalable production solutions.
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The Technical Lead is responsible for the technical direction and execution of major products and systems, including hands-on design and coding. They will drive architecture decisions, mentor engineers, and ensure high engineering standards across the development lifecycle.
You will own the end-to-end machine learning systems, managing the lifecycle from data and training to deployment and monitoring. You will also partner with research and application teams to translate model capabilities into reliable, scalable production solutions.
The Technical Lead will own the technical direction and execution for major products, systems, and engineering initiatives. This hands-on role involves designing scalable systems, writing code, and driving critical engineering work from conception to production.
You will own the end-to-end machine learning systems, managing everything from data pipelines and model training to production deployment and inference. You will collaborate with research and engineering teams to turn model capabilities into reliable, scalable, and high-performance product solutions.
You will own the end-to-end machine learning systems, managing everything from data pipelines and model training to production deployment and inference optimization. You will also collaborate with research and application teams to translate model capabilities into reliable, scalable, and high-performance product features.
You will lead the integration of Large Language Models using orchestration frameworks like LiteLLM and direct API connections to Claude. Additionally, you will build scalable backend services with Django and collaborate on frontend features to deliver AI-driven user experiences.
The Head of Product Development will lead both product and engineering for the mobile gaming business unit, setting strategy and shipping hands-on work. They will drive AI adoption across functions and foster a high-performance culture within a lean team of product owners and engineers.
The Android Systems Engineer will design, test, and scale tablet-based learning solutions while maintaining the Android firmware and device platform. They will collaborate with cross-functional teams and manufacturers to ensure reliable, secure, and performant device operations for educational programs.
Design, build, and operate the AI storage layer to support large-scale GPU infrastructure for distributed inference and training. Lead architectural ownership and technical direction for storage platforms across edge and core deployments.
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The Staff Network Engineer will design, implement, and operate the high-performance network infrastructure powering the company's GPU cloud platform. This role involves architectural ownership of AI fabrics and datacenter networks while acting as the senior escalation point for complex networking incidents.
The Development Manager will lead and mentor a team of Salesforce developers to design, implement, and support complex CRM solutions and system integrations. They are responsible for overseeing technical delivery, ensuring alignment with enterprise architecture, and managing resources across onshore and offshore teams.
You will own and evolve core infrastructure, including compute, networking, and deployment systems to support AI and industrial workloads. Additionally, you will partner with engineering teams to implement observability, reliability practices, and CI/CD pipelines for production environments.
The QE & Automation Lead is responsible for overseeing quality assurance across the 3DS portfolio, including managing automation frameworks and release strategies. This role involves leading a team of quality engineers while actively participating in technical execution and influencing cross-functional stakeholders to ensure high product standards.
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