Top Engineering Jobs in Seattle, WA

Design and implement CIAM backend services for authentication and authorization. Integrate identity systems, manage secure flows, and automate infrastructure.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

Provide technical leadership for partner integrations (e.g., Shopify, Stripe), design solutions, manage project plans and timelines, support external partner technical questions, produce integration documentation, serve as SME/escalation point, recommend platform and tooling improvements, and collaborate with engineering and commercial teams to execute long-term partnership initiatives.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

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.

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.