3,882 Software Engineering jobs available for remote work from home. Apply for positions such as Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA, Senior SW Engineer, 4554-Customer Engineering Manager, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will provide high-touch technical support for ClickHouse and Langfuse users across EMEA and globally, handling troubleshooting and integration questions. Additionally, you will create technical content such as documentation and webinars while collaborating with engineering and product teams to improve the platform.
Design, develop, and modernize web applications while collaborating directly with clients to solve complex business and technical problems. You will be responsible for translating business requirements into technical designs, maintaining backend services, and mentoring teammates.
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You will build and evolve high-quality member-facing web experiences using modern frontend technologies while contributing to backend services and APIs. You will also own projects end-to-end, collaborating with cross-functional teams to turn complex healthcare workflows into intuitive user experiences.
You will own and evolve internal cloud infrastructure while serving as a technical lead on client-facing infrastructure engagements. Additionally, you will contribute to open-source projects and mentor teammates on infrastructure practices.
Design and build production-grade AI agent systems while establishing organization-wide patterns for AI quality, safety, and reliability. Lead technical direction, mentor senior engineers, and serve as a trusted advisor to cross-functional stakeholders.
Design, build, and scale production-grade AI applications using LLMs and RAG architectures. Develop backend services and manage cloud infrastructure deployments on AWS, Azure, or GCP.
The AI Prompt Designer will lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. They are responsible for building reusable design patterns and evaluation frameworks that scale across multiple teams and use cases.
Design and optimize compute-intensive workloads on modern GPU hardware for AI, scientific computing, and data processing. Collaborate with cross-functional teams to translate requirements into high-performance solutions while mentoring junior engineers.
You will design, develop, and maintain full-stack applications while ensuring system performance, security, and scalability. You will also collaborate with cross-functional teams to deliver high-quality products and mentor other engineers to improve development standards.
You will collaborate with cross-functional teams to design, develop, and launch features for Reddit's high-traffic feed pages. Additionally, you will contribute to backend architecture, mentor engineers, and drive a culture of metrics-led execution and system observability.
The role involves connecting internal systems with advertising and marketing platforms while managing API integrations and data processing. You will be responsible for designing backend workflows to automate marketing processes and ensuring reliable data synchronization.
Manage 1-2 engineering teams by overseeing the full talent lifecycle, including hiring, retention, and professional development. Partner with product management to balance feature development with technical debt while ensuring scalable, high-quality code delivery.
You will own and deliver customer-facing search features and workflows across the full stack, from technical planning through production. You will also design and improve search, indexing, and retrieval systems while collaborating with Product and Design teams to build intuitive user experiences.
You will build and operate systems that enable engineering teams to safely release and deploy software to production. This includes developing deployment capabilities, improving observability, and automating workflows to ensure reliable software delivery.
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Lead the Secure Build and SCS Services teams by owning delivery, team health, and operational excellence across both domains. Partner with product teams to shape strategy and roadmaps while ensuring technical direction supports reliability and security goals.
Design and build production-grade AI agent systems, including multi-agent workflows and orchestration layers. Develop AI-powered decision-support systems and backend services while mentoring engineers to raise team standards.
Design, build, and operate secure, automated cloud infrastructure to support Security Operations Center (SOC) missions. Develop automation, integrate APIs, and implement security controls across the software and infrastructure development lifecycle.
The engineer will develop AI-powered code transformation tools to migrate application instrumentation to OpenTelemetry standards. They will also contribute to observability operations, including log PII detection, cost optimization, and infrastructure monitoring.
The Application Development Manager leads the team in designing, developing, and supporting enterprise applications while providing technical guidance and architectural oversight. This role is responsible for mentoring staff, establishing software engineering standards, and ensuring alignment between business objectives and technical solutions.
You will design, develop, and deploy scalable cloud-native applications using AWS serverless technologies to support mission-critical exam delivery platforms. The role involves collaborating with cross-functional teams to implement infrastructure as code, monitor system performance, and ensure operational excellence.
The engineer will design, develop, and maintain end-to-end data integration solutions for clinical reporting platforms while providing production support. They will also drive the adoption of AI tools to automate workflows and optimize data pipelines within the software development lifecycle.
Lead the design and implementation of large-scale, reliable data pipelines while mentoring junior engineers to raise team standards. Collaborate with cross-functional stakeholders to ensure data products are performant, compliant, and trustworthy.
Build and improve machine learning models and data-driven systems to classify, label, and enrich vast amounts of Internet telemetry data. Partner with cross-functional teams to design applied ML workflows that transform raw data into actionable insights for internal systems and customer products.
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Design, develop, and maintain high-quality, scalable technical solutions for Git storage services within a distributed systems environment. Provide technical leadership, mentor team members, and ensure the reliability and performance of live services through on-call rotations.
The engineer will design and maintain a full-stack iMBSE platform while integrating agentic AI solutions and RAG services. They will also collaborate cross-functionally to ensure secure, scalable deployments within a DevSecOps environment.
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.
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