3,884 Software Engineering jobs available for remote work from home. Apply for positions such as Full Stack Developer, Functional Analyst, Senior Backend Engineer (Python), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, develop, and deploy scalable enterprise applications while integrating with various cloud platforms and third-party systems. Utilize AI-assisted coding tools to accelerate the development lifecycle and ensure high standards for code quality and security.
The Functional Analyst will collaborate with business and technical teams to gather, document, and analyze system requirements. They will also participate in testing activities and ensure requirements traceability throughout the project lifecycle.
You will collaborate with cross-functional teams and external vendors to deliver high-quality software engineering solutions. The role involves active participation in the development lifecycle, including clarifying requirements and working on diverse projects ranging from startups to global brands.
Lead the full software development lifecycle for enterprise applications, including design, development, testing, and deployment. Build and maintain scalable, secure, cloud-native solutions using .NET, React JS, and Azure while integrating AI-powered tools to streamline workflows.
Design and develop core components for electromagnetic simulation platforms, including field solvers and automation pipelines. Collaborate with research scientists and engineers to optimize performance-critical code and integrate numerical methods into production software.
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Serve as a primary technical resource for customers by diagnosing, troubleshooting, and resolving complex GPS/GNSS and RF system issues. Collaborate with engineering teams to improve product quality while creating technical content and delivering training to enhance the customer experience.
You will architect and optimize the CI/CD ecosystem to support massive containerized infrastructure and drive the adoption of GitOps methodologies. Your role involves collaborating with engineering teams to integrate security, quality gates, and observability into automated deployment pipelines.
You will own the technical foundation and architecture of AI-native solutions from initial definition through to production. You will collaborate with cross-functional teams to translate business needs into scalable, reliable, and efficient technical implementations.
The AI Engineer will design, build, and deploy intelligent solutions using modern Machine Learning, Deep Learning, and Generative AI technologies. They will collaborate with engineering, product, and data teams to turn complex business challenges into scalable AI-powered solutions.
You will lead development teams and work directly with clients to translate complex business requirements into high-quality, scalable digital products. Your role involves shaping architectural decisions, ensuring best practices in software development, and managing project delivery.
The professor will develop and teach curriculum in software engineering and artificial intelligence while providing academic mentorship to students. Additionally, they will conduct applied research, secure third-party funding, and contribute to the university's academic governance and institutional growth.
You will lead development teams and work directly with clients to translate complex business requirements into high-performance digital products. Your role involves shaping architectural decisions, ensuring project delivery, and maintaining best practices in software development and DevOps.
The Data Engineering Expert will design, develop, and deploy complex Power BI solutions and ETL pipelines while optimizing data storage and query performance. They will also contribute to platform robustness, mentor team members, and participate in community-building activities.
You will own the platform architecture for the GraphAware Hume analytics platform and provide technical leadership for graph-based systems. This involves driving Neo4j strategy, optimizing query performance, and mentoring engineering teams to ensure scalable and secure product development.
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You will advance the capabilities of Kubernetes on Azure while improving service quality and accelerating development velocity. Additionally, you will build automation to remediate service problems and integrate AI tools into engineering workflows.
Collaborate with cross-functional teams to design and deliver scalable AI infrastructure and Kubernetes solutions. Integrate AI capabilities into product development while ensuring system reliability, observability, and performance through monitoring and troubleshooting.
Advance the capabilities of Kubernetes and auxiliary components on Azure to improve service quality and development velocity. Build automation to prevent service issues and integrate AI tools into the engineering workflow.
You will build and maintain reliable, scalable commerce solutions while collaborating closely with product managers to solve complex problems. Your role involves active participation in code reviews, testing, and driving technical initiatives with a strong sense of ownership.
Lead and manage the VeriLoan product engineering team to ensure high-quality, scalable delivery of solutions on Microsoft Dynamics 365 and Power Platform. Drive Agile processes, define technical standards, and collaborate with cross-functional teams to align engineering execution with business priorities.
Design, build, and operate Kubernetes-based platform systems to support GitHub's production services. Lead technical initiatives for fleet reliability, capacity management, and cross-team platform migrations.
Design, develop, and deploy scalable backend applications using Node.js and TypeScript while integrating Generative AI and LLM capabilities. Operate cloud-native architectures on AWS and ensure production systems meet high standards for performance, security, and resilience.
You will architect and develop production-grade Agentic AI and Generative AI systems, including multi-agent workflows and RAG pipelines. Additionally, you will lead and mentor engineering teams while collaborating with cross-functional stakeholders to deliver scalable AI solutions.
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Design, develop, and maintain high-quality, scalable technical solutions for the Git code-hosting platform. Provide technical leadership, mentor team members, and ensure system reliability through on-call rotations and cross-functional collaboration.
You will lead end-to-end system design and delivery for cloud and AI workloads while embedding directly with customer teams to solve complex challenges. The role involves driving technical strategy, mentoring engineers, and ensuring production-ready solutions meet high standards of security and reliability.
The Cybersecurity Engineer will design and maintain security controls for cloud, AI, and classified environments while supporting accreditation activities like RMF and FedRAMP. They will also implement DevSecOps practices within CI/CD pipelines and conduct vulnerability assessments across software development projects.
Design and deliver scalable, resilient AI infrastructure and Kubernetes solutions for hybrid environments. Collaborate with cross-functional teams to optimize performance and integrate AI capabilities into cloud-native platforms.
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