Backend Engineer, Stripe

• A strong technical background, including 3+ years of experience with software engineering
• Strong coding skills in Java or related languages for building high performance services
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)
• Strong expertise and practical knowledge in database technologies particularly in utilizing large scale databases in the cloud, which includes clustering, sharding and failure recovery of RDBMS, Key-value store, and document databases
• Familiarity with the full life cycle of software development, from design and implementation to testing and deployment
• Strong analytical capability especially in modeling complex business flows and turning the business requirements into programmatic artifacts such as data models, algorithms, and API designs
• Experience in systems engineering on large scale testing, as well as reliability, security, and observability

Desirable

• Scope, design and implement unique, large scale, high-performance distributed computing engine to handle billions of money movement requests in face of complex and often changing business logic
• Scope, design and implement highly performant hybrid transaction processing solution for large scale financial data
• Build a comprehensive set of tools to enable effective and delightful developer experience for payment related products by codifying complex payment logic and engineering needs with declarative artifacts (data model, rules, configurations, etc)
• Design, build, and maintain platform APIs, services, dashboards and user Interfaces to efficiently add, monitor and maintain payment methods and onboard Merchants
• Integrate with external Payment providers
• Help debug and solve critical production issues across services and multiple levels of the stack
• Teach and mentor others to become the next generation of leaders at Stripe
• Collaborate with technical and non-technical stakeholders across the company to build new features at large-scale, while improve internal engineering standards, tooling, and processes