3,884 Software Engineering jobs available for remote work from home. Apply for positions such as Staff Software Engineer, GitHub Actions, Staff Software Engineer, Git Systems, Staff Software Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Staff Software Engineer will architect and deliver high-performance systems for GitHub Actions, ensuring reliability and scalability for millions of developers. They will provide technical leadership, mentor team members, and champion security and operational excellence across the platform.
Design, develop, and maintain highly scalable and performant services for the Git code-hosting platform. Provide technical leadership, mentor team members, and ensure system reliability through on-call rotations and code reviews.
Define and drive the technical direction for GitHub's internal developer platform, including paved paths and operational automation. Lead the design of large-scale architectures and integrate agentic, Copilot-driven approaches into operational workflows.
Define and drive the technical direction for GitHub's internal developer platform, including paved paths and operational automation. Lead large-scale architectural initiatives while mentoring engineers and fostering engineering excellence across the organization.
You will embed with engineering teams to improve the reliability, scalability, and operability of GitHub's production systems. You will also own complex production problems end-to-end, from debugging live incidents to designing long-term engineering solutions.
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You will architect and deliver high-performance systems for GitHub Actions while providing technical leadership and mentorship to the engineering team. Additionally, you will champion security, operational excellence, and system reliability to ensure the platform scales effectively for millions of developers.
Define and drive the AI and Agentic AI transformation roadmap while designing enterprise-grade solutions using Generative AI and multi-agent systems. Lead the transition to outcome-based delivery models and serve as a trusted advisor to client executives on complex transformation programs.
The Product Analyst will lead discovery efforts and manage the software development lifecycle for admissions and insurance management workflow applications. They act as a liaison between operational stakeholders and engineering teams to translate business needs into technical requirements.
The Industrial IoT Engineer will design and build connected, data-driven industrial systems ranging from the factory floor to enterprise cloud platforms. Responsibilities include architecting end-to-end IIoT solutions, managing edge data acquisition, and ensuring secure cloud connectivity.
The Distributed Systems Architect will lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. They are responsible for overseeing service decomposition, distributed data management, and ensuring system resilience, observability, and security.
The Principal Applications Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for distributed systems. This role involves driving strategic engineering decisions, mentoring senior engineers, and ensuring the delivery of highly scalable and resilient software solutions.
The Enterprise Solutions Architect will design and govern enterprise-grade application architectures across cloud, integration, and data domains. This role involves partnering with stakeholders to translate strategic objectives into scalable, maintainable technology solutions.
The engineer will design and build software tooling, firmware, and infrastructure to support semiconductor development, verification, and manufacturing. They will collaborate with cross-functional teams to improve silicon development cycles and ensure high-quality production outcomes.
The Senior Staff Engineer will provide deep technical leadership across multiple teams to drive complex, cross-cutting engineering initiatives. They will shape architecture, mentor junior engineers, and collaborate with cross-functional partners to deliver ambitious technical roadmaps.
Lead, grow, and develop a team of Cloud Operations engineers while owning the technical vision and roadmap for the platform's availability, security, and cost efficiency. Establish engineering standards, manage incident response programs, and ensure consistent adoption of best practices across the organization.
You will develop end-to-end features from technical design through deployment and monitoring while collaborating with cross-functional teams. You will also modernize existing systems, optimize database schemas, and contribute to engineering practices that improve code quality and reliability.
Design, develop, and maintain scalable backend services using Python and AWS Lambda while optimizing RESTful APIs. Collaborate with cross-functional teams to deliver end-to-end functionality and proactively identify architectural improvements.
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You will collaborate with cross-functional teams to build and maintain scalable backend systems for financial applications. The role involves ensuring data accuracy, reliability, and performance while integrating AI-powered workflows and messaging systems.
Lead a technical pod of DevOps/DevSecOps engineers while maintaining hands-on involvement in architecture, coding, and pipeline development. Manage project delivery, including sprint planning, stakeholder reporting, and ensuring adherence to security and compliance standards.
Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects. Collaborate with data scientists and software engineering teams to integrate scalable AI models into production environments.
You will architect Generative AI workflows to automate cloud security configuration, drift detection, and remediation. Additionally, you will lead a distributed engineering team in a follow-the-sun model to drive AI enablement across cloud security tooling.
You will design, implement, and support high-performance, low-latency services while contributing to architecture and DevOps strategies using AWS and containerization. Additionally, you will collaborate with cross-functional teams to translate business requirements into technical solutions and mentor junior engineers.
The Senior Software Engineer designs, builds, and operates the enterprise cloud platform using Go-based microservices and GCP infrastructure. They are responsible for maintaining platform APIs, automating infrastructure, and ensuring the reliability and security of developer-facing tools.
You will design and implement API gateways, model routing layers, and service infrastructure to connect AI models with production applications. Additionally, you will develop internal developer tooling and observability infrastructure to support AI workloads and improve team iteration speed.
You will translate complex engineering work into high-quality narratives that resonate with global technical communities. This involves collaborating with engineering teams to identify compelling stories and managing content projects independently.
The AI Engineer will design, develop, and deploy generative AI solutions, including agentic workflows and RAG-based applications. They will collaborate with cross-functional teams to integrate these AI capabilities into enterprise platforms like ServiceNow while ensuring responsible AI practices.
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Design, develop, and maintain backend services and RESTful APIs using C#, .NET, and ASP.NET Core within a Microsoft Azure cloud environment. Collaborate with cross-functional teams to deliver scalable software solutions while ensuring code quality through automated testing and CI/CD practices.
The role involves designing and operating enterprise-scale Kubernetes clusters and implementing closed-loop auto-remediation systems to reduce manual toil. You will also architect hybrid cloud infrastructure and mentor engineering teams on advanced reliability patterns and incident response.
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