Top Backend Engineer Jobs in San Francisco, CA

Build and operate high-throughput backend services for AI agent orchestration, calendar and scheduling, real-time data pipelines, APIs, and integrations. Design scalable platform infrastructure using Go, PostgreSQL, Kubernetes, and cloud services. Collaborate with AI, product, and frontend teams, contribute to infrastructure as code, testing, reliability, and documentation, and mentor junior engineers.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.

Designs, builds, tests, deploys, and operates core identity services. Responsibilities include monitoring SLOs, participating in on-call and incident response, automating manual processes, conducting design and code reviews, mentoring peers, improving documentation, and applying security and privacy principles to authorization workflows.

Design, build, and ship scalable backend features for Confluence Cloud AI automation and search. Develop RESTful microservices using object-oriented programming languages and work with relational and NoSQL databases in a distributed environment. Collaborate with engineering, architecture, product, and design teams; participate in Agile ceremonies; review code; and ensure reliability, security, performance, testing, documentation, monitoring, and error reporting.

Build and ship features for highly scalable, geographically distributed backend services. Responsibilities include collaborating with engineers, architects, product managers, and designers; participating in code reviews; applying testing, documentation, reliability, security, and performance best practices; mentoring teammates; monitoring services; and contributing to Agile ceremonies.

Design, implement, test, debug, and operate scalable backend services such as identity, friend graph, and persistence systems. Collaborate across teams to deliver product solutions while maintaining availability, scalability, security, operational excellence, and cost efficiency. Investigate incidents and hotfixes, apply distributed-systems best practices, and use AI-assisted development tools while auditing output for quality and security.

Design, implement, operate, and scale critical backend services, including identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, ensure availability and operational excellence, test and debug code, and participate in incident resolution. The role requires technical leadership, distributed-systems expertise, and effective use of AI development tools while maintaining security, performance, and production-quality standards.

Build and maintain scalable backend platforms for capital orchestration, transaction reconciliation, collateral movement, data pipelines, and business workflows. Collaborate with engineers, product managers, designers, analysts, and business stakeholders to design systems, write tested code, improve reliability, and deliver projects incrementally. Support production operations through monitoring, metrics, debugging, code reviews, and on-call responsibilities.

Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

Build and improve backend services, REST APIs, monitoring, CI/CD pipelines, content-management integrations, and reliable customer-facing features. The role requires collaborative software development experience with prominent programming languages, REST integrations, Git, and server technologies such as Docker, NGINX, and Node.js. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Build backend-leaning product features for Hex’s AI analytics platform, including APIs, CLI workflows, MCP integrations, access-control systems, enterprise administration, and full-stack product changes. Design scalable systems, implement complex business logic, collaborate through RFCs and code reviews, and contribute across the application stack. The role uses TypeScript, GraphQL, Postgres, Redis, Kubernetes, AWS, and related infrastructure technologies.

Build and operate high-performance Python and FastAPI backend services that ingest, process, store, replay, and distribute real-time radar sensor data. Own streaming pipelines, telemetry, geospatial views, sensor coordination, and platform architecture while ensuring low latency, reliability, security, and scalability. The role also involves end-to-end production ownership and collaboration on edge computing, cloud, and defense technology systems.

Design and build scalable backend systems and real-time data processing services, plan architectures for rapid growth, productionize machine learning and AI components, improve engineering standards, and help evolve the core platform with company founders. The role requires backend or distributed-systems experience, ownership of high-throughput systems, database capacity planning knowledge, startup experience, and the ability to independently scope and ship work.

Design, build, and operate reliable backend services, APIs, data models, and workflows for billing and financial systems. Improve correctness, traceability, observability, performance, and resilience across revenue-critical integrations. Collaborate with Product, Finance, Operations, Data, and engineering teams; support production systems through on-call participation; mentor junior engineers; and leverage AI technologies for engineering and operational automation.