233 Fintech jobs
Open tech roles at companies in financial technology — payments, banking, lending and insurance.
Senior Software Engineer, Backend - Data Products
Build backend systems for Rippling's Data Cloud team, creating an end-to-end analytics and BI platform with distributed processing engines, data lakes, and ingestion pipelines. Work with Python, Kafka, MongoDB, and big data technologies like Trino, Flink, and Iceberg, and explore ML/LLMs for automated insights.
Senior Full Stack Engineer (Core Engine)
Senior full stack engineer to design, build, and maintain scalable backend services, APIs, and core platform components for healthcare revenue cycle management and insurance claims processing. Core stack: Java, Spring Boot, RESTful APIs, SQL/NoSQL, cloud (AWS/Azure/GCP), Docker/Kubernetes, CI/CD, with AI-assisted development tools.
Sr Director, Payments SRE
Senior Director of Payments SRE at WEX, leading the Site Reliability Engineering organization for high-volume, low-latency payments platforms. Sets strategy for reliability, observability, automation, and incident management, manages SRE managers and ICs, and drives cloud-native, Kubernetes-based operational excellence.
Frontend Engineer - Design Systems
Frontend Engineer on Mercury's Design Systems team, building and evolving shared React/TypeScript components and design tokens used across product interfaces. Works with designers and engineers on accessible, well-crafted UI, documentation, and AI-assisted prototyping.
Senior Software Engineer - Cards
Senior full-stack engineer on Mercury's Cards Integration team, owning the debit/credit card product end-to-end: issuance, spend controls, authorization, money movement, settlement, disputes, and reporting. Works across Haskell and TypeScript, leading projects from spec to launch on high-reliability financial systems.
Staff Software Engineer | AI
Staff-level engineer building and deploying AI-powered features into 8am's SaaS products for legal and accounting professionals. Work spans Python, LLM frameworks, evals, data pipelines, and AWS deployment, collaborating with product, data, and cloud teams.
