3,823 Software Engineering jobs available for remote work from home. Apply for positions such as SAP EWM Developer - fully remote possible, SAP EWM Consultant - fully remote possible, Senior Agentic Software Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Responsible for recording technical requirements from customer workshops and developing implementation concepts. The role involves realizing solution concepts using SAP technologies and providing training and test support.
The role involves recording technical requirements and developing IT solution concepts specifically focused on SAP EWM and connected modules. Responsibilities also include creating test cases, conducting trainings, and providing qualified support for implemented solutions.
Deliver production features and modernizations using agentic development as the primary workflow. Build and operate multi-agent frameworks while pairing with engineers to transfer AI-native working habits.
Lead a software engineering team in designing, building, and operating scalable GraphQL and REST APIs. Oversee the full API lifecycle while mentoring engineers and partnering with cross-functional teams to deliver consumer-facing applications.
Design, build, and operate production LLM-based solutions and AI agents to increase corporate productivity across various business functions. Establish technical strategies, governance patterns, and secure integrations while ensuring healthcare security and compliance.
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Own and evolve the end-to-end architecture of the Core Platform, including backend services, SDKs, and AI-enabled capabilities. Design scalable APIs and distributed systems while providing technical leadership and mentorship to the engineering team.
Design, build, and maintain AI agents and automation workflows using Microsoft-first platforms to execute the company's Artificial Organizational Intelligence strategy. The role focuses on integrating enterprise data grounding and automating IT and business processes to improve operational efficiency.
Lead the Billing team by designing system architectures, managing technical debt, and driving engineering standards. Mentor engineers and coordinate technical dependencies across various teams to build interactive VR streaming features.
The Senior SRE is responsible for ensuring SaaS products are fast, stable, and optimized by managing availability, performance, and monitoring. They focus on building automated systems to eliminate manual work and implementing AI-powered observability and remediation.
Drive the modernization of the core platform by designing and implementing scalable AI and agentic workflows using LLMs. Tackle technical debt and own architectural decisions to improve system stability and developer velocity.
Lead a portfolio of software delivery projects for U.S. clients, ensuring on-time and high-quality execution. Manage executive client relationships, drive account growth, and lead high-performing engineering teams.
The Customer Engineer designs, builds, and deploys AI applications using Cresta SDKs and APIs to integrate with contact center platforms. They collaborate with Customer Success and Engineering teams to resolve technical issues and drive value for enterprise customers.
The developer is responsible for the design, development, and maintenance of high-quality software using software engineering principles. Key duties include performing complex peer code reviews, mentoring team members, and leading technical standards and implementation discussions.
Transform AI prototypes and early-stage builds into scalable, secure, and production-ready enterprise applications. Partner with Product Managers to design, build, and deploy end-to-end AI solutions across various business lines.
Lead technical decisions and hands-on coding for critical features while overseeing the design and implementation of software systems. Coordinate with cross-functional teams to deliver high-quality cloud, web, and mobile applications using AI tools for efficiency.
Define and own the AI architecture vision for the Protégé agentic AI assistant within PatentSight+. Design scalable reasoning systems, retrieval architectures, and ensure compliance with Responsible AI standards.
Define and own the AI architecture vision for the Protégé agentic AI assistant within PatentSight+. Lead the design of reasoning systems, retrieval architectures, and AI-driven data enrichment while ensuring compliance with Responsible AI standards.
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Lead and coach a team of software engineers to design and build reference applications and implementation patterns. Drive architectural decisions and ensure production-grade standards for scalability, resilience, and efficiency across the enterprise.
The Principal Data Scientist will set the strategic vision and roadmap for AI/ML solutions within the Telecommunications domain to improve network performance and subscriber experience. They will lead the implementation of cutting-edge models, mentor data science teams, and collaborate cross-functionally to integrate intelligence into scalable products.
The Senior Data Scientist will research and develop machine learning models to solve complex healthcare challenges and improve patient outcomes. They will collaborate with cross-functional teams to integrate these models into production products and mentor junior data scientists.
The role is responsible for the stability, reliability, and operational performance of mission-critical exam delivery platforms and online proctoring services. It involves leading engineering teams to ensure uptime targets are met while managing vendor relationships and incident response.
Lead the architecture and development of the LC Phone Voice System, focusing on voice calling, IVR, and SIP capabilities. Ensure platform stability and scalability while resolving critical carrier-level service issues and optimizing backend API services.
Design scalable, secure, and modern software solutions for enterprise clients while collaborating with sales and delivery teams to shape technical proposals. Develop value propositions, statements of work, and technical blueprints across CX and non-CX domains.
Design and implement scalable drug discovery workflows in Python to automate the drug design process. Collaborate cross-functionally with scientists and engineers to translate scientific problems into production-grade software.
Lead the design and implementation of AI, Generative AI, and Machine Learning solutions to enhance software engineering and IT operations for the VA. Develop AI Copilots, RAG applications, and intelligent automation tools while ensuring compliance with government security and governance standards.
Lead the design and implementation of AI, Generative AI, and Machine Learning solutions to enhance enterprise software engineering and IT operations for the VA. Develop AI Copilots, RAG applications, and intelligent automation tools while ensuring compliance with VA governance and security standards.
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Lead and mentor a backend development team in the EU, driving the architecture and delivery of high-quality software solutions. Balance hands-on coding with line management, including performance reviews and career development.
Design, build, and operate the systems and infrastructure used by Arista's development teams to automate CI/CD, testing, and visualization. This includes maintaining build systems, troubleshooting network issues, and ensuring high availability of infrastructure.
Drive the adoption of AI tools across engineering teams by creating training programs, documentation, and reference implementations. Partner with platform and security teams to establish best practices for AI-assisted development and gather developer feedback to improve tooling.
Own the end-to-end architecture and technical direction of a high-scale B2B payments platform. Lead the design of resilient distributed systems while mentoring senior engineers and establishing engineering best practices.
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