Backend Engineer

About Josy

Josys is a modern AI-native identity security and governance platform. Enterprise AI adoption has made identity the fastest-growing attack surface, and the hardest to govern. Josys discovers, governs, and secures every identity — human, machine, and AI agent — across every application in the enterprise, allowing security and IT teams to surface risk, control access, and remediate identity threats in real-time. Trusted by over 1,000 organizations and MSPs worldwide, Josys turns identity from the fastest-growing attack surface into an autonomously governed advantage. For more information, visit josys.com.

About The Role

We are looking for a skilled Senior Software Engineer with hands-on Ruby on Rails expertise to join our team. This is not a Rails-only role — the ideal candidate is someone who is strong in Rails but equally comfortable working across our broader backend stack (Node.js, microservices, and other services), and can move fluidly between them based on what the team needs. The successful candidate will be responsible for developing and maintaining the back-end infrastructure of our B2B SaaS product, with a strong understanding of software architecture, database design, and server-side programming. Additionally, the candidate should have experience working with cloud-based infrastructure (AWS, preferably) and be able to develop highly scalable and secure systems.

Key Responsibilities

• Collaborate with the development team, product managers, and designers to understand business requirements and contribute to technical specifications and software solutions.

• Design, develop, test, and deploy back-end components across our Ruby on Rails and non-Rails (e.g. Node.js) services — this role is expected to work across the backend stack, not within a single framework.

• Work with front-end engineers to develop APIs that facilitate smooth data flow and system interoperability.

• Contribute to system design discussions, weighing in on architecture, scalability, and trade-offs for new and existing services.

• Optimize code, conduct testing, and follow best practices to ensure the reliability, performance, and security of the application.

• Learn and contribute to the development and maintenance of cloud-based infrastructure, preferably using AWS, ensuring scalability, high availability, and disaster recovery.

• Use AI-assisted development tools (e.g. Cursor or similar) thoughtfully as part of the engineering workflow — going beyond surface-level usage to actually improve code quality, review rigor, and team productivity.