Senior Backend Engineer (Node.Js)

About the role

ABOUT JOSYS

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 http://josys.com.

ABOUT THE ROLE

We are looking for a Senior Software Engineer with strong hands-on Node.js experience to join our backend engineering team.

Node.js will be the primary technology focus for this role. You will build and maintain backend services, APIs, and scalable systems while working closely with product and engineering teams.

Our backend environment includes both Node.js and Ruby on Rails. You do not need prior Rails experience to be successful in this role, but you should be comfortable learning Rails and contributing to existing Rails services as you grow into the role.

We are looking for a strong individual contributor with good engineering fundamentals, practical system design experience, and the ability to take ownership of backend projects from development through production.

WHAT WE'RE LOOKING FOR

- 3–7 years of backend software development experience, with strong hands-on experience using Node.js. Exceptionally strong candidates with ~2 years of experience may also be considered.

- Strong proficiency in JavaScript and/or TypeScript.

- Hands-on experience building and maintaining production-grade backend services and REST APIs.

- Strong understanding of backend architecture, asynchronous programming, object-oriented programming, and software engineering fundamentals.

- Experience working with databases, data modelling, and writing efficient queries.

- Experience with background jobs, queues, asynchronous processing, or event-driven systems.

- Comfortable working on existing codebases and contributing independently with minimal hand-holding.

- Ability to participate in system design discussions and reason through architecture, scalability, performance, reliability, and technical trade-offs.

- Strong debugging and problem-solving skills, including the ability to investigate and resolve production issues.

- Genuine, hands-on experience using AI-assisted development tools such as Cursor or similar tools. Candidates should be able to explain how they use AI for development, debugging, testing, code review, and improving productivity.

- Strong ownership of previous projects, with the ability to explain their actual technical contribution in depth.