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About Us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. Changing global trade starts with shipping great code. Boxes don’t move before those bytes move.
About the Role We’re looking for a Mid-Level Full Stack Engineer who gets excited by solving complex problems and building systems that directly impact millions - make that billions - of dollars in global trade. Our platform manages over two billion pricing points, hundreds of thousands of quotes, and millions of location codes. This is not just UI polish or backend plumbing - it’s building reliable, scalable systems end-to-end. You’ll work across frontend and backend layers while leveraging AI-powered development workflows - especially vibe coding - to move fast, iterate intelligently, and ship high-quality features. Speed matters, but reliability matters more. That’s why you’ll back everything up with strong automated testing and clean engineering practices. Come ready for a challenge - and don’t be fooled by container ships; this is rocket-science technology.
What You’ll Do
* Design and build end-to-end features across frontend and backend services.
* Develop modern, scalable UI/UX features using best practices and clean architecture.
* Build robust backend APIs and services that power high-scale, high-availability systems.
* Use AI-assisted development (vibe coding) to accelerate feature delivery and reduce iteration cycles.
* Validate AI-generated and AI-assisted code with comprehensive automated tests (unit, integration, and end-to-end).
* Contribute throughout the development and deployment lifecycle across the R&D organization.
* Collaborate with product managers, designers, backend, and DevOps teams to deliver business-critical capabilities.
* Troubleshoot and solve complex cross-stack issues in a large-scale codebase.
* Continuously improve development workflows, introducing mechanisms and best practices to prevent recurring issues.
* Help evolve AI-driven engineering standards within the team.



Hybrid:
Yes