Top Backend Engineer Jobs in San Francisco, CA

Design and build tooling, workflows, and guidance to make GitLab easier to deploy, validate, and operate across cloud-native, self-managed, and ephemeral environments. Shape deployment architecture, topology, scaling principles, and platform contracts while collaborating with application, infrastructure, and delivery teams.

Build and maintain release engineering tooling to streamline development, testing, packaging, and production releases. Improve developer experience via feedback-driven iterations, collaborate with cross-functional teams, scale tooling and processes, and contribute to engineering best practices and hiring.

As a Backend Engineer, you'll develop infrastructure for AI agents, design APIs, and ensure reliable, scalable systems while collaborating across teams.

The Senior/Staff Engineer will provide technical leadership, design system architecture, review code, mentor engineers, and oversee engineering processes, primarily for backend systems, data pipelines, and AI services.

As a Backend Software Engineer, you'll design, build, and maintain server-side components while collaborating with cross-functional teams to optimize services and ensure scalability, security, and compliance. You'll also manage databases and implement testing strategies to maintain quality.

Seek a Rust backend engineer to build scalable message delivery. Responsibilities include deploying production code, ensuring stability, and improving developer experience.

Lead and mentor engineering teams to design, build, and scale backend services, web applications, and data pipelines. Solve complex cross-cutting problems, develop data integrations, and perform data analysis to resolve issues and improve performance.

Design, build, and maintain scalable backend systems and APIs (Node.js/TypeScript) for eCommerce platform features like loyalty, pricing, checkout, and localization. Own reliability, observability, integrations, feature-flagged rollouts, internal tools, and architectural direction while mentoring engineers and collaborating cross-functionally.

Build and own internal backend products for model evaluation, regression testing, dataset discovery, and agentic context curation. Unify internal data and evaluation systems, enable secure, queryable access to petabyte-scale data across clouds with PII-aware access controls, integrate product usage signals, and harden internal agents for org-wide use.

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.

The Back-End Engineer will design and build core platform services, operate production services, and work on AI-powered features while collaborating with cross-functional teams and mentoring junior engineers.

The Backend Engineer will develop intricate backend systems, build performant APIs, and contribute to technology innovation at Entefy.

As a backend engineer, you will enhance data collection systems to ensure reliability and scalability, working closely with engineering and mission teams.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

The role involves owning the architecture and technical direction of Payment Rails infrastructure, designing high-reliability systems for global payment processing, and leading cross-functional collaborations to create efficient, compliant solutions. Responsibilities also include mentoring team members and enhancing operational excellence through AI-driven improvements.

Lead architecture and technical direction for Payments platform, building scalable, fault-tolerant distributed systems, defining roadmaps, ownership of production reliability, cross-functional partnership, and mentoring engineers to improve platform quality and scalability.

The Senior Backend Engineer will develop backend systems, cloud infrastructure, automate deployment, scale data solutions, and ensure system security while collaborating with a cross-functional team.

Design and build scalable platforms for high-frequency data ingestion, develop database solutions, and pioneer data architecture while collaborating on engineering standards.

As a Platform Backend Engineer, you'll develop core systems for ingesting and serving high-volume sensor data, optimizing ETL pipelines, and creating real-time dashboards for manufacturing insights.

Responsible for architecting and developing scalable backend systems, leading a development team, implementing best practices, and enhancing cloud infrastructure.

Lead development projects utilizing Java/J2EE, focusing on server-side applications and eCommerce. Requires extensive experience in object-oriented programming and performance optimization.

Build and maintain backend systems for data center networking: implement Go and Python services, design scalable ingestion/transform pipelines across Kafka, Postgres, and Clickhouse, maintain schema versioning and backwards compatibility, create CI/CD workflows, enable fine-grained historical and real-time querying, collaborate on reproducible model training/evaluation pipelines, and optimize performance to meet real-time serving constraints.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

The Backend Engineer will improve reliability and scalability of services, develop new services, and analyze operational efficiencies while collaborating closely with the engineering team.

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.