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Cast AI is looking for a Platform Engineer to help turn a laptop-to-production journey into a smooth, scalable path. You’ll work on a CI/CD pipeline, default observability, and standard patterns that let hundreds of engineers deploy and operate services without infrastructure toil.
You’ll join a remote-first, global team of cloud experts, collaborating across time zones. The role offers equity options, learning budgets, and a fast-paced environment where most features ship in weeks.
A team ships a new service, and getting it from a laptop to production – built, tested, deployed, and visible when something goes wrong – shouldn’t require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that’s there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal – the users are Cast AI’s own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.