796 Nosql jobs available for remote work from home. Apply for positions such as Site Reliability Engineer ll (DBA) , Software Engineer II - Frontend React (Remote), Software Development Engineer 1, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Site Reliability Engineer will maintain and optimize high-availability database systems like Vitess and Cassandra while ensuring service reliability through monitoring and incident response. They will also develop automation tools and collaborate with cross-functional teams to improve operational efficiency and system resilience.
The engineer will design, build, and maintain scalable frontend applications for military-facing storefronts and procurement platforms. They will collaborate with cross-functional teams to deliver features, troubleshoot production issues, and ensure code quality and system reliability.
Develop cloud-based software systems including APIs and websites as part of a multi-disciplinary Agile team. Collaborate with UX design and technical leads to gather requirements and support customer onboarding and account management.
Lead the architecture, design, and development of modern, scalable web applications while serving as a technical advisor to clients. Integrate AI/ML capabilities into production systems and mentor engineering teams to ensure high-performing, secure solutions.
The Web Developer will build and maintain responsive B2B websites while integrating AI-powered features and marketing technology tools. They will also be responsible for optimizing website performance, SEO, and accessibility while collaborating with cross-functional teams to deliver technical solutions.
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The Principal Software Engineer will provide high-level technical leadership to design robust, scalable distributed systems and cloud-native platforms. They will also integrate AI-native engineering practices to accelerate development lifecycles while ensuring operational excellence and system reliability.
You will lead a team of software engineers to build, enhance, and support annuity-business applications while providing strategic technical direction. This role involves partnering with product leadership to align technology solutions with business goals and fostering a high-performing, collaborative team culture.
Lead the development of cloud-based software systems including APIs and websites within a multi-disciplinary Agile team. Interface with product managers and customers to gather requirements, provide integration support, and drive technical architecture.
Lead a portfolio of technology projects and a team of developers to build robust, cloud-based microservices solutions. Collaborate with product managers to drive digital transformation and mentor engineering community members.
Design, develop, and maintain scalable backend services and APIs using Golang. Collaborate with product and engineering teams to improve system performance, reliability, and security.
The Senior GIS Engineer will design and implement scalable geospatial data pipelines, geocoding services, and full-stack applications. They will also collaborate with business teams to translate requirements into technical solutions while mentoring junior engineers.
The Full Stack Software Engineer will design and implement features across the backend and frontend to optimize data center operations. This role involves leading technical reviews, mentoring team members, and ensuring system scalability and reliability.
The Full Stack Engineer will build and scale the AI-powered Volio platform using Python, FastAPI, and AWS infrastructure. They will also develop multi-agent AI workflows, RAG pipelines, and mobile features while collaborating with cross-functional teams.
You will own the end-to-end development of features for an AI-powered accounting platform, from initial concept to deployment. This includes building backend services, designing reliable AI-powered workflows, and collaborating with product and domain experts.
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Design and drive the architecture for the AI Intelligence Platform, ensuring scalability, security, and privacy across all components. Own complex technical initiatives from initial design through production while mentoring team members on best practices.
Design and architect scalable enterprise-grade AI, ML, and Generative AI solutions while managing data pipelines and MLOps practices. Lead end-to-end AI initiatives, mentor technical teams, and ensure compliance and security across all AI deployments.
Design, develop, and maintain scalable .NET systems for the Sport Math Team using microservices and cloud-native architectures. Mentor junior engineers and collaborate with cross-functional teams to ensure high performance and alignment with business objectives.
Design, develop, and maintain scalable cloud-native full-stack applications to support clinical operations and patient workflows. Collaborate with cross-functional teams to migrate business capabilities from legacy systems while ensuring HIPAA compliance and system security.
Design, develop, and maintain scalable full-stack applications using Python and React to support clinical and operational healthcare workflows. Collaborate with cross-functional teams to migrate business capabilities from legacy systems to a modern, cloud-native AWS platform.
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 high-performance REST APIs and microservices using FastAPI. Collaborate with frontend teams while integrating AI-assisted development methodologies and managing containerized deployments on Kubernetes.
The AI Platform Engineer will design, build, and maintain scalable technical foundations for enterprise AI solutions, including LLM-powered applications and RAG workflows. They will collaborate with cross-functional teams to establish engineering standards, CI/CD pipelines, and security controls for governed production use.
The AI Platform Engineer will design, build, and maintain scalable infrastructure and platform capabilities to support secure, enterprise-grade AI and LLM applications. They will collaborate with cross-functional teams to implement CI/CD pipelines, data integration, and governance controls for production-ready AI solutions.
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Design, build, and maintain scalable platform capabilities to support enterprise AI, LLM, and agentic workflows. Collaborate with cross-functional teams to establish engineering standards, CI/CD pipelines, and secure integrations for production-ready AI solutions.
Design and maintain scalable platform capabilities to support enterprise AI, LLM, and agentic workflows. Collaborate with cross-functional teams to implement secure CI/CD pipelines, infrastructure-as-code, and robust MLOps/LLMOps practices.
The AI Platform Engineer will design, build, and maintain scalable infrastructure to support enterprise AI, LLM, and agentic workflows. They will collaborate with cross-functional teams to implement CI/CD pipelines, data integration, and governance controls for production-ready AI solutions.
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