Digital banking platform for credit unions and community banks
Bankjoy builds mobile, web, and API-first banking software for credit unions and community banks. The stack spans Angular, React, Swift, Kotlin, and .NET Core across web and mobile surfaces, deployed on AWS, Azure, and GCP — a multi-cloud, multi-platform architecture common in regulated financial services. Current hiring is concentrated in engineering and product (11 of 17 roles), with senior and VP-level seniority dominant, reflecting both platform deepening (next-gen business banking, payment integrations, core banking overhauls) and operational maturity demands of a regulated fintech scaling into compliance and test automation.
Bankjoy delivers digital banking solutions — mobile apps, online account opening, loan origination, and conversational AI — to community banks and credit unions in the United States. Founded in 2015 and based in Royal Oak, Michigan, the company operates at 51–200 employees, serving financial institutions seeking modern technology stacks without building in-house. The product surface includes transaction banking, deposit products, and lending workflows. Active work spans core banking integrations, payment systems, and a next-generation business banking platform, while addressing technical debt reduction and test automation across a regulated environment.
Bankjoy runs Angular, React, and TypeScript on the web; Swift and Kotlin on mobile; .NET Core and C# on backend; AWS, Azure, and GCP for cloud infrastructure; Figma for design; Cypress and Appium for testing; Jira and Azure DevOps for project tracking.
Royal Oak, Michigan. The company is a 51–200 person privately held fintech founded in 2015.
Bankjoy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.