Top Full-Stack Engineer Jobs in San Francisco, CA

Build and support full-stack applications for developing, training, simulating, and evaluating autonomous systems. Develop React and TypeScript interfaces, backend services, APIs, data models, and Python workflows. Deploy and troubleshoot containerized services across local, cloud, on-premises, and air-gapped Kubernetes environments. Collaborate with users, product, design, and engineering teams to translate complex workflows into reliable, extensible applications and reusable platform capabilities.

Build and support full-stack Forge platform features across React and TypeScript interfaces, backend services, APIs, databases, and Python workflows. Design reusable APIs and data models, deploy services across local and Kubernetes environments, and improve reliability through testing, observability, and troubleshooting. Partner with users, product, design, and engineering teams to translate complex autonomy development, simulation, training, and evaluation workflows into dependable applications.

Build and support production full-stack applications with a frontend focus using TypeScript and React. Design intuitive interfaces for simulation, synthetic data, testing, evaluation, and autonomy workflows. Integrate APIs and backend services, improve performance and accessibility, test complete user workflows, and create reusable components and extension points. Collaborate closely with developers, product, design, and domain experts to deliver reliable applications across local, cluster, edge, and air-gapped environments.

Senior Full Stack Engineer responsible for architecting and delivering AI-driven backend and frontend systems. The role leads complex technical initiatives, defines roadmaps, designs scalable APIs and data models, and champions JavaScript, Node.js, testing, observability, and Spec-Driven Development. It requires building and scaling distributed, event-driven microservices; working with financial infrastructure; mentoring engineers; and translating ambiguous business objectives into reliable technical solutions.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Build and improve full-stack software for engineers operating mission-critical hardware. Responsibilities include developing React and TypeScript/JavaScript interfaces, contributing to backend services and APIs, creating reliable data flows, debugging across systems, writing tested code, and collaborating on greenfield products. The intern will work closely with software engineers and operators while gaining experience across frontend, backend, databases, and hardware-connected systems.

Build full-stack AI governance and observability features for Hex’s data platform. Responsibilities include developing React and TypeScript interfaces, backend language parsers, SQL generation, AI context systems, semantic models, agent audit tools, and workflows for governing and debugging AI-generated answers. The role requires solving front-end UX and backend scalability challenges while working with data teams and modern data warehouse technologies.

Build and maintain scalable full-stack web applications and systems for Snap products. Develop user interfaces, optimize performance and browser rendering, contribute to shared libraries, analyze operational metrics, and deliver secure, production-ready code. The role requires strong front-end and back-end development skills, testing knowledge, distributed systems experience, and the ability to use AI tools responsibly in engineering workflows.

Leads technical vision and software architecture across Capital One, designing scalable cloud, data, microservice, and event-driven solutions. Drives modernization, defines platform and API standards, ensures technical quality, leads cross-divisional initiatives, and mentors engineers. Requires deep experience in software engineering, enterprise architecture, cloud computing, data architecture, distributed systems, web technologies, databases, networking, and full lifecycle delivery.

Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Build and maintain full-stack features for Benchling’s workflow engine, recipes, assays, and related life sciences products. Develop backend services, frontend interfaces, workflow data models, and AI-enabled functionality. Collaborate with engineering, product, design, and AI teams; write tested and documented code; participate in code reviews and on-call support; and work onsite in San Francisco three days per week.

Leads full-stack and DevOps engineering efforts across distributed microservices, cloud-based systems, APIs, databases, and containerized platforms. Provides technical direction, mentors engineers, establishes development standards, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy. The role requires expertise in cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and modern programming languages.

Lead full-stack engineering for cloud-native, large-scale applications: design and implement frontend (React/TypeScript) and backend (Python) services, author Airflow DAGs, model distributed SQL, deploy and operate on Kubernetes, drive observability with Splunk/Grafana, adopt enterprise AI-assisted development practices, and provide technical leadership across design, delivery, and operational readiness.

Build and operate Forge, a full-stack engineering platform for developing, testing, deploying, and diagnosing AI autonomy capabilities. Design composable user interfaces, typed versioned APIs, backend services, application lifecycle workflows, and AI-agent tool integrations. Ensure consistent behavior across local and remote environments while partnering with simulation, autonomy, ML, infrastructure, security, product, and design teams.

Leads technical vision, architecture, modernization, and engineering standards across complex domains. Designs scalable cloud, data, microservice, and event-driven systems; ensures implementation quality and operational performance. Partners with engineering and architecture leaders on platform strategy, mentors engineers, drives technical excellence, communicates best practices, and leads cross-divisional initiatives. The role requires hands-on software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and extensive technical leadership experience.

Lead and mentor engineering teams building full-stack, cloud-based solutions with distributed microservices and modern technologies. Define service boundaries and integration patterns, establish engineering standards, improve system performance, reduce technical debt, and guide technology strategy. Collaborate with product managers, architects, and Agile teams while developing scalable solutions using languages including Java, Python, and JavaScript and platforms such as AWS, Docker, Kubernetes, and Spark.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end frameworks. Lead technology projects and developers, establish engineering standards, define architectures, improve system performance, reduce technical debt, mentor engineers, and influence long-term technology strategy. The role emphasizes AWS and other cloud technologies, Agile delivery, open-source frameworks, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development.

Leads reliability engineering strategy and hands-on development for developer-focused platforms that improve system resilience, scalability, performance, and operability. Modernizes monoliths into microservices and event-driven systems, establishes architecture and API standards, drives cross-divisional technical initiatives, and mentors engineers. Requires extensive software engineering, solution and enterprise architecture, cloud computing, data architecture, full-stack development, distributed systems, databases, networking, and technical leadership experience.

Leads multiple software engineering teams and shapes enterprise technology strategy, architecture, and engineering standards. Oversees full-stack solution development, cloud deployments, microservices modernization, system scalability, resilience, and delivery velocity. Partners with product, design, architecture, and executive leaders to align technology roadmaps with business goals. Develops engineering talent through mentoring, workforce planning, succession planning, recruiting, and professional development while fostering innovation and inclusive engineering practices.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead the architecture and delivery of GitLab’s data products, including near-real-time data ingestion, knowledge graph integrations, data marketplaces, observability, and data-sharing APIs. Translate ambiguous 0-to-1 initiatives into roadmaps, resolve cross-team dependencies, ensure operational readiness across deployment surfaces, and mentor engineers. The role requires deep full-stack expertise, technical leadership, and experience with AI-powered orchestration and multi-tenant SaaS systems.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Build backend-focused Java/Kotlin APIs and data-driven product features, while contributing to React dashboards and workflows. Design scalable systems, participate in architecture and code reviews, troubleshoot production issues using observability tools, and collaborate with data, reporting, design, and product teams to launch emerging products.

Build and scale backend-focused, full-stack web applications for Braze’s Cloud Data Ingestion and Data Transformation platforms. Drive architectural decisions, technical strategy, and end-to-end feature delivery. Develop scalable systems handling high-volume data and traffic, including automated pipelines, asynchronous processing, and ETL applications. Collaborate within an agile team while delivering reliable front-end and backend experiences that improve customer data integration and platform growth.