Senior Backend Engineer building and scaling microservices for Klover's fintech platform, focusing on real-time payments, financial data integrity, and integrations with banks and processors using Rust, Go, and event-driven systems.
Salary not listed
Hybrid5+ YOEBackend Engineering
About the role
Responsibilities
Build and evolve microservices that handle high-volume financial and transactional data
Design and implement APIs that securely connect to third-party payment processors, banks, and fintech partners
Write thoughtful & quality code that is readable, testable, and easily maintainable
Develop data-driven services that power account management, transaction history, and financial insights
Strive for excellent development practices and careful code architecture that is built around rapid releases
Work cross-functionally with backend, mobile, and product teams to consistently release high-quality, customer-focused financial features
Adhere to, and improve upon, our agile process through requirement documents, sprint retrospectives, and other regular cadence meetings
Requirements
5+ years of experience building backend services in production environments
Experience building and scaling backend systems that support financial products and real-time payments
Experience in environments where data integrity, security, and performance are critical
Experience building microservices using Rust and Go
Experience in the financial technology, payments, or banking systems industry
Familiarity with compliance, security, and data privacy standards (e.g., SOC 2, PCI DSS, GDPR)
Experience designing transactional and event-driven systems for payments, reconciliation systems, or ledger-like applications
Familiarity with microservice or Service-oriented Architecture
Experience using gRPC, protobuf, or GraphQL
Expert knowledge of SQL and experience designing data models for financial data integrity
Experience with message queues or event streams (e.g., Kafka, RabbitMQ)
Experience with cloud environments such as AWS, GCP, or Azure
Nice-to-Haves
Willingness to learn and teach in a collaborative environment
Eagerness to leverage and develop using AI tools
Strong participation in an open feedback environment
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