Layer

Layer is building the Declarative MLOps (DM) platform to help data teams across all companies to produce machine learning applications based on code in small and safe increments that can be reproduced, tested and reliably deployed at any time, in short adaptation cycles. Our engineering team is a mix of top engineers from Palantir, Revolut, Google, eBay, Wise, Improbable, Coinbase, Amazon, DataRobot, among others. We have an all-remote culture as we aspire to work with the best talent, no matter where they live. We are looking to make a few more hires until we close down hiring until Series A. Initially, we are looking to hire within the GMT-1 to GMT+5 time zones but we are happy to make exceptions for truly exceptional candidates. Our tech stack is React/TypeScript/GraphQL on the frontend, Java at the backend (with some Scala and Python), Kubernetes/AWS/Terraform/Gradle on the infra side. We are currently only looking for experienced candidates. Prior startup experience or being a prolific open source contributor is a plus. NO RECRUITERS/OUTSTAFFING/OURSOURCING COMPANIES PLEASE.