Platform Engineer

Role overview Own the platform infrastructure that enables an AI engineering system to run reliably inside customer environments. You will evolve its bring-your-own-cloud deployment model, spanning Kubernetes, distributed systems, cloud infrastructure, security, and operations across varied customer setups.

Responsibilities - Design and improve how deployments are distributed, installed, updated, and connected to central services. - Build Kubernetes infrastructure that works across cloud providers and customer environments. - Create repeatable deployment workflows using Helm, GitOps, or similar tools. - Implement secure update and upgrade processes for restricted network environments. - Partner with product, research, and field engineering teams to turn needs into platform capabilities. - Troubleshoot production deployments and improve performance, reliability, observability, and operations.

Requirements - Experience building and operating Kubernetes systems in production. - Infrastructure as code experience with Terraform, Pulumi, or similar tools. - Experience with CI/CD or GitOps deployments across environments. - Familiarity with core cloud services across AWS, GCP, or Azure. - Experience addressing security and networking needs such as VPCs, identity, and encryption. - Ability to own ambiguous problems end to end and use AI tools thoughtfully in technical work.

Benefits and work setup - Remote in the US or Canada, or based in San Mateo, California. Remote employees work on-site with the team for one week out of every six; relocation support is available. - Competitive salary, equity, healthcare, dental and vision coverage, a 401(k) match, and unlimited paid time off.