Top Backend Engineer Jobs in San Francisco, CA

Build and scale Go backend services for agent quoting, configuration, and application submission. Partner with adjacent teams, resolve partner-specific edge cases, provide architectural leadership, write unit and integration tests, review code, and promote automation, CI/CD, and continuous improvement. The role expects daily use of AI coding tools and ownership of services across distributed systems and microservices environments.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Design and build backend services for a digital asset custody platform, including secure transaction orchestration, wallet lifecycle management, integrations with custody providers and blockchain infrastructure, resilient APIs, high-availability systems, observability, and close collaboration with security and product teams.

Design and build production-grade serverless backend services and APIs for contact center systems. Implement observability, integrations, migration tooling, and AI-enabled workflows to improve routing, agent support, and operational visibility.

Design, build, and scale backend systems and microservices for automated chargeback and dispute workflows. Integrate with card networks, banks, and merchants, improve CI/CD, upgrade platform architecture, and own feature delivery and system optimizations.

Build and operate scalable backend infrastructure powering ChatGPT image generation and editing. Responsibilities include developing APIs, services, orchestration systems, storage platforms, and distributed infrastructure; optimizing reliability, latency, throughput, and cost; productionizing AI research; making architecture decisions; collaborating with product, research, mobile, web, and platform teams; and contributing through technical leadership, mentorship, and operational excellence.

Backend software engineering internship focused on owning projects, writing reliable and tested code, participating in code reviews, refactoring, and supporting continuous integration and deployment. Interns collaborate with experienced engineers and contribute to user-facing Lyft products. The role requires strong computer science fundamentals, database experience, familiarity with real-time technology and mobile development, and availability for a Summer 2027 hybrid internship in San Francisco.

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 backend engineering initiatives focused on secure, scalable, and reliable distributed systems. Design identity and access management capabilities, strengthen AWS infrastructure, optimize databases, harden APIs and services, improve observability, and drive incident remediation. Mentor engineers, own cross-service problems end to end, and partner with security teams to deliver durable solutions across customer-facing applications and platforms.

Build and scale secure, reliable backend services and web applications for a fintech wealth management platform. Responsibilities include identity and access management, AWS infrastructure, database optimization, API and distributed-systems hardening, production reliability, observability, incident response, and security remediation. The role independently delivers solutions from design through production, mentors engineers, and partners with security leadership. This is a hybrid position requiring three office days weekly in San Francisco.

Build and scale Mintlify’s backend systems, APIs, content pipelines, and AI infrastructure. Responsibilities include designing services for the editor, dashboard, and documentation sites; ingesting, validating, transforming, and publishing customer content; developing search, retrieval, and agent capabilities; and improving caching, queues, databases, performance, reliability, and observability. The role also contributes to product direction, technical decisions, customer insights, and end-to-end feature delivery.

Develop and ship backend product features for a high-scale mobility marketplace. Responsibilities include writing, testing, reviewing, and deploying maintainable code; improving scalable architecture; building diagnostic tools; documenting technical designs; and collaborating with product, design, and engineering teams. The role requires strong computer science fundamentals and backend experience with databases, distributed systems, search, or streaming technologies.

Lead the design, development, and operation of scalable, high-throughput backend services and distributed systems. Architect reliable platforms, optimize performance, manage capacity, and navigate consistency, availability, and latency trade-offs. Use Java, Go, Scala, Kafka, SQL, cloud platforms, and diverse data stores. Debug complex issues, mentor engineers, document systems, and lead cross-team technical initiatives. Kubernetes, service mesh, chaos engineering, and open-source experience are preferred.

Lead backend platform development for high-throughput distributed systems and shared services. Responsibilities include designing request routing, traffic management, caching, asynchronous processing, event-driven architectures, and data platforms. The role involves operating reliable systems, leading multi-quarter initiatives, making technical decisions across teams, mentoring engineers, producing technical documentation, and improving internal developer experience.

Build reliable, scalable software products and APIs for Zip’s enterprise procurement platform. Responsibilities include designing web applications, writing maintainable code, collaborating with product and customer-facing teams, and solving complex technical challenges autonomously. The role spans backend and frontend development, integrations, reporting, workflows, and payment systems, with opportunities to work alongside AI/ML teams.

Design, build, test, and support EPIC integration solutions across the full interface lifecycle. Gather requirements, resolve integration issues, develop standards and documentation, and provide production support within a remote, volunteer, part-time setup.

Design, build, and operate reliable backend services, APIs, data models, and distributed workflows for billing and financial systems. Improve correctness, traceability, observability, performance, and resilience across revenue-critical processes. Collaborate with Product, Finance, Operations, Data, and engineering teams, support production systems, resolve incidents, mentor junior engineers, and integrate AI technologies into engineering and operational workflows.

Design, build, test, and maintain backend services and APIs powering the insurance platform. Integrate payments, documents, and data providers, improve system stability, performance, and scalability, mentor team members, and participate in architectural decisions and agile ceremonies.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.