Top Remote Senior Full-Stack Engineer Jobs in Los Angeles, CA

Lead design and build of an AI-native marketing platform: integrations, multi-agent orchestration, UIs, tooling, analytics, CI/CD, auth/multi-tenancy, and production AI agents to automate marketing workflows and drive adoption across teams.

Build and ship full-stack features for customer-facing Console and Playground, plus internal tools. Design and maintain APIs and backend services, implement accessible performant frontends, translate product requirements into incremental work, and improve code quality through reviews and design discussions.

Owner of end-to-end ecommerce features: design, implement, and maintain scalable backend services and performant React/Next.js frontends. Integrate payment gateways and procurement systems (PunchOut), mentor engineers, uphold code quality, and improve platform stability across Node.js, MySQL, and MongoDB.

Build end-to-end features, design intuitive interfaces, manage asynchronous backend jobs, and contribute to open-source efforts, while leading project development from concept to monitoring.

Lead the development of Coperniq's platform by designing, developing, and maintaining scalable full-stack solutions while collaborating with teams and mentoring juniors.

The Senior Software Engineer will design, develop, and optimize scalable PHP APIs and web applications, collaborating with product and design teams to support product development and implement best coding practices.

Build and own end-to-end full-stack systems for AI-powered agentic trading across web and React Native mobile. Implement real-time, low-latency UIs and Go backend services, integrate streaming AI/ML features and market data, drive architecture and code quality, and collaborate with AI/ML, design, and product teams to ship production-ready features used by millions.

As a Senior Software Engineer, you'll implement collaboration features, support team architecture, work across tech stacks, and improve developer experience.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Lead frontend-leaning full-stack implementation work for carrier and enterprise integrations: architect reusable UI and API layers, author RFCs, guide technical delivery, enforce testing and security best practices, and partner with cross-functional teams to scope and ship production integrations.

As a Senior Software Engineer in ZT1, you will lead backend system development, manage projects, and influence product direction in a fast-paced, AI-centric environment.

The Senior Full-Stack Engineer at SafeRide Health will develop and maintain healthcare applications, ensuring high performance and security while collaborating with cross-functional teams in an agile setting.

Lead architecture and implementation of scalable web applications using NestJS and Next.js. Build and optimize PostgreSQL schemas and queries, implement responsive UIs with Tailwind CSS, integrate LangChain-driven AI features, manage authentication with Clerk, and create end-to-end tests and automation with Puppeteer to ensure launch readiness and reliable user experiences.

Deliver and scale full‑stack product features end-to-end: design and implement frontend and backend systems, align architecture, collaborate with product/design/data/QA, estimate work, ensure SDLC quality, communicate status, and participate in on-call rotation.

Lead modernization of dtn.com as a senior full-stack engineer—improving architecture, performance, accessibility, and integrations. Build responsive front-end experiences and back-end APIs, integrate CMS/CRM/analytics, optimize conversion and SEO, and establish engineering best practices to support marketing, content, and demand-generation goals.

As a Full Stack Engineer III at Calendly, you'll develop features, scale the platform, and mentor team members while using various technologies.

The Senior Full Stack Engineer will build platform integrations, work across the full stack, shape product architecture, and collaborate cross-functionally to enhance digital experiences.

Embed with brokerage operations to observe and automate manual workflows; design, build, deploy, and monitor auditable backend services and UIs; measure impact with operations metrics; produce RFCs; collaborate with compliance/security; own CI/CD, on-call, and incident response for production systems.

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Lead design and implementation of cloud-first, AI-integrated full-stack applications on GCP. Drive rapid prototyping and MVPs, mentor developers, define architecture, maintain CI/CD pipelines, and collaborate cross-functionally to deliver production-ready solutions.

The role involves building and operating core services for authentication and data privacy, owning projects end-to-end, and enhancing system reliability.

Design, build, and test APIs and services for RoadieXD; develop internal and customer-facing React tools; partner with Product and Operations to deliver scalable, reliable features; influence architecture, write maintainable code, and improve system performance and developer experience.

Design and build a high-performance, AI-native web trading experience for sophisticated retail traders. Ship core trading workflows (order entry, positions, blotter, watchlists, alerts), implement trustworthy AI UI patterns, collaborate with backend engineers on low-latency contracts, and iterate quickly with users and stakeholders to deliver end-to-end product features.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.