Top Senior Full-Stack Engineer Jobs in San Francisco, CA

Build and operate full-stack product features across frontend interfaces, backend APIs, data pipelines, analytical SQL, authentication, and multi-cloud infrastructure. Maintain BigQuery measurement logic, caching layers, Firebase/Auth0 authorization, and GCP/AWS integrations. Ensure testing, observability, and production reliability while contributing to architecture and technical roadmaps. Develop or integrate LLM-powered workflows and AI agents, investigate unfamiliar production codebases, and mentor junior engineers.

Design, develop, test, deploy, and maintain secure cloud-native applications using Python, React, Azure, REST APIs, and microservices. Build and integrate AI capabilities including LLMs, RAG, agentic workflows, and Azure OpenAI services. Apply CI/CD, observability, secure SDLC, and responsible AI practices. Collaborate with product, architecture, UX, DevOps, and security teams, troubleshoot production issues, mentor engineers, review code, and influence technical direction in an agile environment.

Design, develop, test, deploy, and maintain secure full-stack applications in Azure using Python, React, JavaScript/TypeScript, REST APIs, and microservices. Build AI-enabled capabilities involving LLMs, RAG, Azure OpenAI, intelligent automation, and orchestration pipelines. Apply secure SDLC, CI/CD, observability, and cloud-native practices while collaborating with cross-functional teams. Mentor engineers, review code, troubleshoot production issues, influence technical direction, and ensure privacy, governance, performance, and cost efficiency.

Build and improve Grafana’s plugin ecosystem, including Marketplace features, plugin discovery, installation, delivery, review, developer tooling, and portal experiences. Develop across Grafana’s frontend, Go services, and grafana.com; improve reliability and operations in Grafana Cloud; collaborate with plugin developers, partners, product managers, and internal teams to shape the roadmap.

Build and operate the platform powering autonomous defensive agents, including durable workflows, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, and audit trails. Develop React and TypeScript operator interfaces with WebSocket streaming for long-running workflows. Partner with AI researchers and security teams to productionize agent capabilities safely across thousands of customer tenants.

Build and operate full-stack healthcare products across frontend, backend, event-driven workflows, data services, integrations, and AI-powered features. Partner with Product and clinical, sales, and operations stakeholders to define problems, ship solutions, measure outcomes, and iterate. Own system design, reliability, security, observability, testing, incident response, and production quality, particularly for patient data, clinical logic, billing, and LLM functionality.

Own the assessment, architecture, integration, testing, deployment, and stabilization of a humanitarian virtual support hotline. Connect Telegram-based patient communication, administrative and professional portals, and the organization’s website into a reliable workflow. Develop analytics and feedback capabilities, ensure accurate data sharing and onboarding, resolve integration issues, and provide post-launch support while independently making and explaining technical decisions.

Own end-to-end development of production-grade AI-enabled applications across React and TypeScript frontends, Python and Node.js backends, PostgreSQL data models, cloud infrastructure, and CI/CD. Translate complex insurance compliance requirements into intuitive software, maintain platform reliability, optimize performance and accessibility, validate AI-generated code, and collaborate with product, design, and business stakeholders. Mentor engineers and drive technical planning, documentation, testing, deployment, and continuous optimization.

Build and scale full-stack applications for maternal healthcare using React and Python. Develop AI-assisted workflows, improve care-team efficiency, maintain production reliability with Datadog, and ensure HIPAA-compliant handling of protected health information. Collaborate with product, clinical, data, and operations teams to translate complex healthcare workflows into practical solutions while establishing strong standards for code quality, testing, and deployment automation.

Design and build multi-agent applications using Google's ADK, including agents, tools, backend APIs, databases, and TypeScript web interfaces. Deploy and operate services on GCP with Cloud Run and Agent Engine. Develop evaluation suites, feedback loops, tracing, logging, authentication, CI/CD, and comprehensive testing to ensure reliable agent behavior. Integrate Gemini models, REST and MCP tools, and customer systems while using AI coding assistants and collaborating with technical leads and stakeholders.

Own full-stack customer-facing features from product discovery through release, building responsive interfaces, APIs, data models, and automated tests. Improve application architecture, performance, accessibility, and shared components while investigating cross-stack issues. Collaborate with product and design, review code, communicate technical decisions, and mentor engineers. Use AI-assisted development tools responsibly while maintaining correctness, security, maintainability, and customer-data protection.

Design, build, and scale Checkbook’s digital payments platform across databases, backend services, APIs, and user interfaces. Responsibilities include architecting web applications, integrating APIs, optimizing PostgreSQL schemas and queries, implementing application security, and developing automation to improve quality and stability. The role requires strong Python, PostgreSQL, and frontend framework experience, plus familiarity with Flask, FastAPI, or Django.

Design and govern production-grade AI agent platforms, integrating agents with CreatorIQ through APIs, data connectors, and custom MCP servers. Build scalable React/TypeScript frontends and Node.js/Python backend services, implement enterprise safety and governance guardrails, and create agent discovery and evaluation experiences. Support client-facing technical discussions, analyze monitoring feedback, and advise on cloud infrastructure and database strategies. The role requires extensive full-stack engineering, distributed systems, cloud, and production AI agent experience.

Develop and ship end-to-end healthcare software across Python services, APIs, TypeScript and React interfaces, integrations, data models, and AI-powered workflows. Define ambiguous problems with users and stakeholders, build reliable production features, implement testing and observability, scale APIs and architecture, shape product direction, and mentor engineers. The role emphasizes healthcare workflow automation, product ownership, pragmatic technical decisions, and measurable customer and operational outcomes.

Build and deploy full-stack AI product features spanning customer interfaces, backend microservices, and database schemas. Establish engineering standards for code, testing, deployment, and developer tooling. Collaborate closely with the team and customers, gather feedback, document technical decisions, and balance rapid delivery with scalable infrastructure. The role also involves using LLMs, coding agents, prompts, and evaluations to improve development and product capabilities.

Design, implement, and maintain scalable serverless backend services and responsive Next.js front-end components. Build data scrapers and integrations, improve CI/CD and IaC, mentor junior engineers, and collaborate with product and clients to solve complex compliance problems.

Build end-to-end features in a JS/TS stack, designing scalable backend services and responsive real-time frontends. Improve observability, performance, and reliability, collaborate with product/design, and own full-stack implementation from APIs and data models to UI.

Designs and develops scalable full-stack eCommerce platforms using Java, Spring Boot, React, and TypeScript. Leads microservices and micro-frontend architecture, cloud-hosted platforms, distributed data and messaging solutions, streaming and batch pipelines, payment integrations, performance optimization, accessibility, and PCI-DSS compliance. Provides technical leadership, mentoring, architecture guidance, code reviews, documentation, and cross-functional collaboration.

Build and operate backend systems for Suno’s multi-step AI music agent. Design evaluation datasets, graders, regression sets, release gates, and data pipelines for nondeterministic systems. Create internal tools for reviewing model output, support production launches and on-call operations, and collaborate with ML engineers, product managers, and partner teams. The role also involves mentoring engineers and shipping high-traffic creative music features.

Design and build scalable, cloud-native services for Salesforce’s AI Trust and Governance organization. Provide technical leadership across architecture, distributed systems, systems programming, and platform innovation. Lead features end to end, solve scalability challenges, develop comprehensive tests, debug defects, support releases, and mentor engineers through design and code reviews. Collaborate cross-functionally with engineering, product, architecture, and platform teams.

Design and develop scalable cloud applications using Node.js, microservices, Azure, and AWS. Build workflow, data integration, REST API, serverless, and event-driven solutions; integrate client applications with cloud storage; implement security, testing, CI/CD, and DevSecOps practices. Optimize performance and cost, collaborate with cross-functional teams, provide technical leadership and mentorship, conduct technology research, and communicate architecture and recommendations to stakeholders.

Own end-to-end development of customer-facing web platform features, emphasizing React and TypeScript frontend development while contributing to Python backend services. Translate product concepts and designs into reusable, intuitive UI components, partner with Product and Design, engage directly with users, and use AI-powered tools to accelerate development while maintaining code quality and performance.

Build enterprise workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, and technical design. Collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Build and scale Airbnb’s AirChatUI AI prototyping harness and native macOS/iOS applications. Lead architecture and implementation across web prototyping, iOS deployment, AI agent integrations, AirChat tooling, and Kyber platform integration. Develop declarative UI features, collaborate with infrastructure, product, security, and design teams, and establish scalable iOS patterns. Enable designers and product managers to create production-oriented prototypes while maintaining quality, accessibility, performance, availability, and release standards.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.