3,822 Software Engineering jobs available for remote work from home. Apply for positions such as Principal Engineer (USA), Sr. Platform Engineer (Data Platform), Head of Engineering (Remote), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Define and drive the long-term technical architecture for global B2B payments, focusing on scalability, resilience, and security. Lead AI transformation initiatives and integrate emerging financial technologies like stablecoins and blockchain into the platform.
Design and maintain services for user controls, identity, and security across the data platform. This includes contributing to Dgraph internals and building secure content sharing capabilities.
Define and execute a multi-year technology roadmap to modernize legacy platforms while leading the engineering and QA teams. Serve as the primary technology partner to business leadership to align engineering priorities with competitive strategy.
Lead the engineering team responsible for the design, operation, and stability of Hertz's payment systems and integrations. Manage the full delivery lifecycle, including PCI DSS compliance, vendor relationships, and cross-functional collaboration with Product and Finance.
Develop and optimize new features across Node.js and TypeScript backend services to enhance scalability and speed. Collaborate with cross-functional teams to implement innovative solutions and ensure the technical feasibility of UI/UX designs.
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Lead and grow a distributed engineering team by hiring, coaching, and managing the iterative execution of the product roadmap. Collaborate cross-functionally with product and design teams to deliver high-quality web-based tools and maintain system stability.
Design, build, and scale high-performance web applications and trading interfaces across the Tradeify ecosystem. Develop scalable APIs, backend microservices, and real-time dashboards while optimizing for speed and reliability.
Develop and upgrade spacecraft flight software throughout the full lifecycle, from requirements to operations. Additionally, contribute to systems modeling, simulation tools, and proposal writing for new business.
Develop and maintain scalable, high-performance frontend applications using React and Next.js for an AI-native revenue platform. Collaborate with cross-functional teams to integrate APIs and ensure a seamless, responsive user experience.
Lead the design and delivery of complex, integration-heavy full-stack platforms and AI services. Define front-end architecture, establish engineering standards, and mentor junior engineers to ensure scalable and reliable production systems.
Design and maintain data pipelines to support AI model training and evaluation workflows. Develop automation tools for data collection and labeling while collaborating with ML researchers to improve model performance.
Lead the strategic design and oversight of GxP compliance and inspection readiness for R&D technology solutions. This includes embedding validation-by-design into Agile workflows and orchestrating live health authority inspections.
Build and architect Alpaca's algorithmic trading platform to ensure high quality and performance for users. The role involves writing extensive code and making critical decisions regarding distributed systems and high-throughput infrastructure.
Develop and maintain scalable, high-performance frontend applications using React and Next.js for an AI-native revenue platform. Collaborate with cross-functional teams to integrate APIs and ensure a seamless, responsive user experience.
Build custom web apps and AI-native workflows to optimize the commercial engine and reduce friction for GTM teams. Maintain GTM tools and ensure data consistency across systems to improve pipeline generation and revenue retention.
Lead teams focused on developer productivity and the AXIS team to improve the software development lifecycle through metrics and observability. Drive the roadmap for AI-driven development and provide technical leadership to foster a culture of innovation and efficiency.
Lead teams focused on developer productivity and the AXIS team to improve the software development lifecycle through metrics and observability. Drive the roadmap for AI-driven development tools and provide technical leadership to foster a culture of innovation and efficiency.
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Architect and lead the long-term technical roadmap for the enterprise Data Lakehouse, focusing on high-performance engines and self-service frameworks. Build internal SDKs and orchestration tools to abstract cloud complexity and implement global data governance and AI ingestion pipelines.
Co-lead the design and development of software infrastructure for Enterprise AI, focusing on scalable agentic solutions for business functions. Bridge the gap between AI research and production systems while mentoring a team of high-performing engineers.
Engineer security improvements for the GitLab product and maintain tools to detect and prevent platform abuse. Develop anomaly detection systems and expand agentic AI capabilities to reduce operational load.
Build and ship end-to-end product experiences from prototype to production, focusing on modern web applications and cloud services. Design and manage AI-powered capabilities including RAG and personalization while ensuring security and scalability.
Own features end-to-end by designing and developing backend services with Python/Django and high-quality frontend features using TypeScript/React. Monitor production systems and participate in code reviews to ensure reliability, performance, and security.
Develop scalable analytical solutions and dashboards using Power BI, SQL, and Python to drive strategic decisions for Fintech teams. Partner with Product and Technology teams to transform complex data into actionable insights while ensuring data quality and governance.
Lead and inspire a team of engineers and administrators to deliver innovative Salesforce solutions across multiple clouds. Oversee platform modernization, operational readiness, and strategic alignment with business goals to improve customer excellence.
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Lead the technical direction and development of an AI-native underwriting platform, focusing on scaling the product from MVP to production-grade. Design core backend services using Python and implement AI-assisted software development workflows to improve engineering velocity.
Lead the GateManager team in designing and evolving a secure, scalable Linux-based platform acting as a Zero Trust enforcement point. Combine hands-on technical architecture and code reviews with people leadership, coaching, and cross-functional collaboration.
Own backend features end-to-end, from design and implementation to rollout and operational reliability. Develop and optimize scalable data pipelines and APIs to support analytics, search, and machine learning workloads.
Own backend features end-to-end, from design and implementation to rollout and operational reliability. Develop and optimize scalable data pipelines and distributed systems to support analytics and AI-driven product features.
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