Top Engineering Jobs

Build scalable backend systems and data pipelines to power consumer credit reporting. Partner with Product, Compliance, Servicing, and Credit teams to design, deliver, monitor, and operate accurate reporting systems, including on-call responsibilities. Develop robust, well-tested code in Python or Kotlin using distributed systems patterns and technologies like AWS, MySQL, and Spark.

Build scalable backend systems and data pipelines to power consumer credit reporting. Partner with Product, Compliance, Servicing, and Credit teams to design robust reporting systems, ensure operational availability, monitor metrics, support on-call, write well-tested code, debug large codebases, and contribute to team growth and hiring efforts.

The Staff Software Engineer will lead technical strategy, mentor engineers, and drive development for full stack systems impacting customer experience.

As a Senior Software Engineer in ZT1, you will lead backend system development, manage projects, and influence product direction in a fast-paced, AI-centric environment.

Lead architecture, design, and delivery of Salesforce solutions for Revenue: build custom development, integrations, CPQ and CLM architecture, mentor engineers, govern platform, and partner cross-functionally to optimize Revenue systems and workflows.

As a Senior Software Engineer, you will build scalable systems and data pipelines for consumer credit reporting, drive strategic outcomes, shape architecture, and mentor team members while ensuring operational excellence.

As a Senior Software Engineer, you will build scalable systems, mentor engineers, and ensure high availability of data pipelines, collaborating with cross-functional teams.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

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.