Top Backend Engineer Jobs in San Francisco, CA

Lead engineering best practices and develop scalable AI-driven applications and data pipelines while mentoring other engineers. Analyze complex problems and deliver impactful AI products.

As a Founding Backend Engineer, you'll build frameworks for information exchange, blockchain verification, and customer processing using AI, while fostering early company culture.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

Design and build backend systems for real-time streaming and AI workflows, ensuring scalability and reliability while optimizing performance and developing frameworks for other engineers.

Design, build, and scale core backend systems; manage services and APIs for engineering data streams, ensuring performance and compliance.

The Staff Backend Engineer will architect retail-facing search systems, integrate AI capabilities, solve scaling problems, collaborate cross-functionally, and mentor the team.

Lead the design of a petabyte-scale activation platform, architect big data pipelines, optimize costs, and mentor engineers while collaborating with teams to enhance data activation reliability and performance.

Design and implement APIs and core services, build impactful features, mentor engineers, and enhance application quality for a mission-critical system.

The Senior Backend Engineer will enhance data integration infrastructure, manage internal systems, and collaborate with teams to execute engineering tasks for growth initiatives.

As a Senior Software Engineer, you'll own backend systems, mentor team members, and collaborate with product and design to build user-focused solutions.

The Staff Backend Engineer will design a high-performance non-human identity platform, implement low-latency systems, and mentor junior engineers while collaborating on technical strategies for scalability and performance.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

Build and maintain backend systems processing millions of patient records daily to produce real-time risk scores. Develop data pipelines, feature engineering for ML, LLM-based clinical note parsing, and operate AWS/Kubernetes infrastructure with high concurrency, reliability, and uptime for hospital deployments.

Design, build, test, and maintain backend services and APIs for an insurance platform. Integrate external services and data providers, improve system stability, performance, and scalability, participate in architecture discussions, mentor teammates, and support internal tooling and deployment practices.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.

Design, develop, and maintain scalable APIs and secure backend services. Collaborate with teams to ensure system reliability and performance while identifying security risks.

As a Backend Engineer, you will develop resilient applications using Python and FastAPI, working on large-scale data analytics with a focus on AI coding tools.

The Backend Engineer will build products from scratch, navigate priorities, and lead teams, requiring strong technical skills and curiosity about business problems.

As a Staff Backend Engineer, you will lead backend initiatives for energy markets, operationalize ML models, and maintain scalable infrastructure.

The Staff Back End Engineer will lead engineering best practices, solve complex problems, build scalable applications and data pipelines, and mentor engineers.

The role involves leading backend development, collaborating on system design, and ensuring technical excellence while working on healthcare technology solutions.

Own and develop Provider Servicing backend systems: design scalable, secure Java/Spring Cloud microservices and integrations (Mulesoft), build APIs and data services, adopt AI developer tools, mentor engineers, collaborate cross-functionally, and automate operations to improve SLAs.

The Senior Backend Engineer will develop AI-powered language learning products, focusing on backend systems while coordinating with design and machine learning teams.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.