Top Engineering Jobs in San Francisco, CA

Engineering interns develop, ship, test, and monitor production code through a meaningful project tailored to team needs. They collaborate with mentors and managers, contribute to real engineering systems, and present their work at the end of the internship. Projects may involve data pipelines, automated testing, financial platforms, frontend applications, APIs, deployment, and cloud technologies.

Entry-level software engineers will contribute to team projects, write tested and extensible code, navigate large codebases, debug and review code, collaborate with stakeholders, manage quality and delivery trade-offs, and actively pursue professional growth. The role is part of Affirm’s early-career program and involves hybrid work in New York City or San Francisco during the first year.

Software Engineering Interns develop, deploy, test, monitor, and present meaningful production projects during a 12–16 week internship. Interns collaborate with mentors and managers to define projects aligned with team needs, ship code, and verify production performance. Work may involve backend or frontend development, data processing, automated testing, APIs, cloud platforms, and financial technology.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Own backend engineering goals for Consumer Engineering, lead delivery of scalable systems, collaborate with product, design, and analytics, improve reliability and code quality, resolve technical and business issues, support on-call operations, and mentor engineers.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, collaborate with product and analytics partners, improve system reliability and availability, monitor operational metrics, establish quality standards, and mentor team members. The role requires designing and launching highly available distributed backend systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes, while driving technical planning and safe changes across large codebases.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Lead technical strategy and execution for Affirm’s account management team, building secure, scalable fullstack systems and customer account security experiences. Collaborate with product, design, analytics, and engineering teams; establish quality, monitoring, testing, and operational standards; support availability and on-call practices; communicate technical decisions; and mentor engineers.