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# Senior Platform Engineer - AI Cloud Infrastructure

- **Company:** Stratitech Services LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Linux, Distributed Systems, Python (Programming Language), Software Engineering, AI Infrastructure, Cloud Platform System, Build Management, Kubernetes, Deployment Automation, Terraform
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_d4cf6641da703549703273c2dc528fed

## About the Role

Prior GPU or HPC experience is not required. If you've built strong production cloud or Kubernetes platforms and want to move deeper into AI infrastructure, we'd like to hear from you., * 5+ years of relevant platform, infrastructure, systems, SRE, or software engineering experience, or equivalent depth of experience.

 * Strong hands-on experience with production Kubernetes.
 * Experience with Terraform or comparable Infrastructure-as-Code tooling.
 * Professional programming or substantial infrastructure-development experience using Python, Go, or another systems-oriented language.
 * Evidence that you've built or substantially extended infrastructure/platform capabilities, not only operated existing systems.
 * Experience owning technical projects from architecture through production.
 * Comfort solving problems across infrastructure boundaries and working in an environment where the answer isn't already defined.

## Description

We are partnering with a well-funded AI company building a new GPU-focused cloud platform, and we're looking for a Senior Platform Engineer who wants to help build it from the ground up., * Design and build core infrastructure for a new AI/GPU cloud platform.

 * Build and evolve production Kubernetes infrastructure for distributed and compute-intensive workloads.
 * Develop platform tooling and infrastructure software using Python, Go, or similar languages.
 * Build reusable infrastructure with Terraform / Infrastructure as Code.
 * Automate provisioning, deployment, orchestration, scaling, and infrastructure lifecycle management.
 * Create self-service platform capabilities that make infrastructure easier for engineers and customers to consume.
 * Work across Linux, networking, storage, containers, cloud infrastructure, and distributed systems.
 * Build observability and automation that make complex environments easier to operate and troubleshoot.
 * Own meaningful infrastructure projects from design and architecture through production.
 * Help establish technical direction while the platform is still being created.