Top Senior Backend Engineer Jobs in San Francisco, CA

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.

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.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

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.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

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.

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, 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, operate, and independently own scalable backend services for a high-traffic marketplace. Responsibilities include designing APIs, data models, asynchronous workflows, and distributed-system integrations; troubleshooting production issues; improving observability, reliability, performance, and operational readiness; participating in design and code reviews; collaborating cross-functionally; supporting on-call operations; and mentoring junior engineers.

Design, build, test, deploy, and support public-facing APIs and backend services in Go for Fastly’s security products. Own projects from technical proposals through production rollout, collaborate with product, frontend, platform, and security teams, and ensure stability, scalability, observability, and performance. Mentor engineers, contribute architectural guidance, use AI coding agents, and participate in on-call support.

Build and lead development of backend services and applied AI systems powering multimodal enterprise agents. Responsibilities include data ingestion, APIs, storage, background processing, deployment architecture, AI orchestration, evaluation frameworks, security, tenant isolation, auditability, scalability, and cross-functional product collaboration. The role sets technical direction, ships production AI features, improves reliability, and mentors engineers.

Designs, builds, and supports scalable Java and Spring Boot microservices on GCP. Responsibilities include SQL and data pipeline development, CI/CD with Jenkins, infrastructure automation using Terraform, comprehensive JUnit testing, code reviews, agile tracking, production incident resolution, and root-cause analysis. The role collaborates with product, architecture, and cloud engineering teams while mentoring peers and improving engineering standards. Remote work is available, with less than 10% travel and a requirement to obtain and maintain Public Trust.

Lead the architecture and implementation of scalable conversational AI systems and backend services. Own projects from ideation through execution, shape the engineering roadmap, design RESTful APIs and business logic, integrate external partners, evaluate ML-driven results, and optimize platform scalability. The role also includes technical leadership, mentoring, code reviews, cross-functional collaboration, and product-focused decision-making.

Build end-to-end product features with a backend focus: schema and API design, UI work in React/TypeScript, GCP/Terraform infrastructure, CI/CD, DB performance tuning, production ownership, and product decision-making using AI coding tools.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

Own and scale production backend systems using Ruby on Rails, PostgreSQL, Sidekiq, APIs, microservices, queues, and distributed architectures. Diagnose and improve reliability, security, performance, observability, testing, and deployment practices. Integrate third-party services, collaborate with product, data, design, and frontend teams, and modernize inherited systems while maintaining delivery speed. The role requires strong production ownership, pragmatic technical judgment, and comfort working remotely in a fast-moving startup.