Top Backend Engineer Jobs in San Francisco, CA

Build scalable, highly available backend systems powering Uber One membership benefits across Rides, Eats, FinTech, Delivery, and Mobility. Responsibilities include designing distributed solutions, resolving complex technical challenges, collaborating with product and design teams, writing reliable code, improving monitoring and on-call practices, and mentoring engineers.

Design, build, and evolve highly available backend platforms powering Uber One across UberEats and UberX. Architect scalable microservices and APIs, lead technical strategy, resolve complex system-design challenges, and drive projects from inception through global deployment. Collaborate with engineers, product managers, data scientists, designers, and stakeholders while establishing standards for testing, monitoring, alerting, incident management, and technical excellence.

Lead the design and evolution of LiveRamp’s petabyte-scale activation backend. Build and optimize distributed batch and streaming data pipelines using Spark, cloud infrastructure, warehouses, workflow engines, and messaging systems. Drive multi-tenant scheduling, reliability, observability, performance, cost efficiency, and production excellence. Define technical strategy, mentor engineers, collaborate across teams, and adopt AI-enhanced development and operations tooling.

Build and operate backend services, control planes, and automation for Lightning AI’s managed Kubernetes and Slurm infrastructure. Develop distributed systems for cluster provisioning, lifecycle management, scheduling, observability, reliability, and scalability across large-scale GPU environments. Diagnose complex production issues and collaborate with infrastructure, AI, and platform engineering teams. Contribute to architecture, technical design, mentoring, engineering practices, and on-call operations.

Develop and scale Lightning AI’s backend platform using Go, spanning APIs, infrastructure, billing, security, and integrations. Own features end to end, design reliable and scalable systems, improve architecture and performance, maintain software quality and continuous delivery, reduce technical debt, and mentor engineers. Collaborate with engineering, product, and design teams in a fast-changing SaaS environment.

Build and scale high-throughput backend services and APIs for AI agent observability, metrics, token usage, runtime controls, and resilience. Develop primarily in Python with Go, write automated tests, and work with databases, Kafka or similar streaming systems, and data platforms. Collaborate with frontend engineers, AI researchers, product managers, and engineering teams to deliver reliable, scalable enterprise products.

Leads backend architecture and technical strategy for autonomous vehicle and customer support systems. Designs scalable integrations across Fleet, Uber for Business, Direct, and platform teams; develops proactive trip-lifecycle support, Agentic AI capabilities, reliability, and end-to-end testing frameworks. Drives cross-functional technical alignment and mentors senior engineers toward Staff-level impact.

Architect and build highly reliable, scalable backend systems powering Uber One memberships across UberEats and UberX. The role involves platform evolution, microservices and API design, technical strategy, cross-functional collaboration, architectural decision-making, production deployment, monitoring, incident management, and engineering excellence. The engineer will lead complex technical initiatives and develop systems serving millions of global users.

Design and operate highly available, high-throughput backend services and distributed systems for Uber’s shared Core Services platform. Shape multi-year technical roadmaps, architectural standards, and foundational infrastructure. Lead development of concurrent microservices, observability, load testing, zero-downtime deployments, and resilient multi-region systems. Collaborate across product and engineering teams while mentoring engineers and driving organization-wide engineering excellence.

Designs, builds, and operates API gateways and integration layers connecting internal services and external systems. Owns authentication, authorization, service delegation, caching, webhooks, notification delivery, testing, observability, and production reliability. Establishes technical direction through architecture, documentation, code reviews, incident follow-up, and mentoring. Resolves complex integration problems and develops reusable engineering patterns for secure, scalable platform operations.

Lead backend, infrastructure, and AI infrastructure efforts for an AI-powered revenue workspace. Architect reliable data-processing pipelines, define data ontologies, and create maintainable engineering abstractions. Own deployment, scalability, uptime, observability, monitoring, on-call processes, and incident response. Build AI evaluation, debugging, modularity, and cost-optimization frameworks while contributing to full-stack product development, bug fixes, and customer support.

Build and scale cloud applications for Conductor, an AI orchestration product. The role suits a strong software engineer who moves quickly, makes sound technical tradeoffs, has deep technical expertise, and ideally has startup experience. The company works in person in San Francisco. Experience with TypeScript, Tauri, React, AI, or machine learning is not required, though familiarity with AI tools and enthusiasm for LLMs are valued.

Build and launch customer-facing financial software features end to end. Collaborate with engineers, Sales, and Support to understand customer needs; design banking solutions; own user experience, data models, scalability, operability, and metrics; and refine features to a high standard. The role requires full-stack application development, client-side architecture, testing, and deployment in a hybrid office environment.

Develop and launch scalable, customer-facing backend products for Brex’s financial platform. Responsibilities include collaborating across engineering and user-facing teams, designing banking solutions, owning user experience and data models, improving scalability and operability, monitoring metrics, and maintaining high-quality standards. The role requires backend development experience, database expertise, strong communication, and end-to-end product ownership.

Design, build, and own scalable backend systems and APIs powering Slackbot, including search, integrations, and AI capabilities. Collaborate with product, design, and engineering teams to deliver user-focused features, make architectural decisions, resolve production issues, and improve system reliability. Mentor engineers, conduct code reviews, and advance engineering standards, tooling, and processes across the team.

Lead the technical direction, architecture, governance, and standards for a backend platform serving multiple engineering teams. Develop AI-native workflows, resolve cross-cutting distributed-systems challenges, influence roadmaps, drive platform adoption, mentor senior engineers, lead complex initiatives, and participate in on-call rotations. The role requires broad expertise across cloud infrastructure, Terraform, CI/CD, GraphQL federation, event-driven systems, APIs, developer experience, Node.js, and TypeScript.

Build and scale backend systems and APIs for loan servicing features (onboarding, collections, compliance). Work in agile product pods to ship and iterate on product features using customer feedback. Collaborate with engineering, product, and operations, and write high-quality Python code meeting regulated enterprise standards.

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Design, build, and operate core backend systems powering subscription billing, medication ordering and fulfillment, and partner integrations. Own schema design, business logic, AWS/Kubernetes infrastructure, CI/CD, and production observability. Collaborate with clinical, product, and operations teams to deliver compliant, reliable clinical state machines and AI-assisted workflows that automate operations and improve patient outcomes.

Build and own backend systems for Sleeper Picks, including contests, pricing, market data, settlement, wallets, ledgers, eligibility, and compliance. Develop reliable real-time systems handling high traffic, concurrent writes, financial correctness, reconciliation, and third-party integrations. Partner with risk, trading, design, and mobile/web teams to deliver end-to-end features. Staff engineers additionally own architecture, elevate engineering standards, and mentor peers.

Build and own backend systems for fantasy sports, including leagues, rosters, drafts, waivers, trades, matchups, and scoring. Scale real-time stat ingestion and low-latency delivery to millions of users. Ship features end to end with product, design, mobile, and web teams. Maintain production health through monitoring, profiling, and capacity planning. Staff engineers additionally own architecture, conduct reviews, and mentor engineers.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Build and own backend services for a private markets investing platform. Deliver end-to-end software across design, implementation, testing, deployment, and operations. Collaborate with product and engineering teams, iterate on ambiguous problems, apply distributed systems principles, and incorporate AI/LLMs for data extraction and document generation. Participate in recruiting and maintain high-quality delivery practices.

The Senior Software Engineer will design and implement backend services, manage architectural decisions, and drive improvements in data quality, performance, and reliability, while collaborating across teams to enhance client and provider interactions in mental healthcare.

Design, build, and scale TypeScript/Node.js backend services, APIs, microservices, databases, integrations, and production infrastructure for a conversational AI healthcare platform. Own services across deployment, monitoring, security, compliance, incident response, and reliability. Implement authentication and authorization, CI/CD, observability, and scalable real-time systems while mentoring engineers and collaborating cross-functionally.