Top Tech Jobs & Startup Jobs in Seattle, WA

Architect and build scalable, secure backend microservices for Payments, Disbursements, or GRC squads. Implement payment and disbursement workflows, KYC/compliance pipelines, and cloud infrastructure using Google Cloud and Kubernetes. Collaborate cross-functionally, mentor junior engineers, and optimize systems for high throughput, reliability, and regulatory compliance.

Design, build, and scale backend microservices for Payments, Disbursements, or GRC squads. Implement secure, high-performance payment and disbursement workflows, KYC/AML and compliance features, and infrastructure using Google Cloud, Kubernetes, and Terraform. Collaborate cross-functionally, mentor junior engineers, and iterate on platform capabilities using analytics and user feedback.

Architect, build, and scale backend microservices for Payments, Disbursements, or GRC squads; design high-performance, secure payment and disbursement workflows; integrate Google Cloud services and distributed systems; ensure compliance (KYC/AML); collaborate cross-functionally; mentor junior developers; and iterate on platform reliability and performance to support millions of daily requests.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, pricing models, vintage and NPV analyses, executive reporting, model integration and testing, and explore alternative data to optimize approval rates and portfolio health.

Lead fraud detection and mitigation for a conversational Send Now Pay Later product: define first-party fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, integrate ML and decisioning tools (Taktile), and coordinate SARs and compliance reporting.

Lead fraud detection and mitigation for a conversational BNPL product: define fraud typologies, analyze repayment/chargeback trends, own fraud KPIs, design policies, collaborate on ML models and decisioning workflows, and coordinate SARs with Compliance.

Lead credit analytics for the Send Now Pay Later product: build and optimize valuation, vintage and NPV models; manage credit policies, portfolio monitoring, and NPL reporting; integrate and test scoring models with engineering/data science; and research alternative data to improve predictive performance.

Lead credit analytics for the Send Now Pay Later product: deliver executive portfolio health reporting, NPL trend analysis, and financial/vintage/NPV modeling. Design end-to-end credit frameworks and acquisition/customer management policies, monitor cohort performance, integrate and test ML scorecards with engineering, and evaluate alternative data sources to optimize approval rates and limit defaults.

Lead fraud risk for a conversational lending product (SNPL): define first-party fraud typologies, analyze repayment and chargeback trends, own fraud KPIs, design automated/manual blocking policies, coordinate ML/rules with central Fraud and Data teams, and liaise with Compliance on SARs and loan abuse.