About the Company

Saturn Cloud is building an AI engineering platform designed to serve developers and data scientists, from individual hobbyists to Fortune 1000 organizations. Its platform provides configurable cloud notebooks with GPU support, jobs, deployments, and other tools for AI and machine learning workflows. The company is an early-stage startup backed by venture capital firms and corporate partners, including AWS, Microsoft, NVIDIA, and AMD.

About the Role

Saturn Cloud is seeking a Senior DevOps Engineer to help develop and maintain the infrastructure behind its AI engineering platform. Kubernetes is a major focus of this role, along with cloud infrastructure, automation, and the engineering practices needed to build reliable, maintainable systems. DevOps engineers at Saturn Cloud work across a range of infrastructure projects, including developing an authentication server for Traefik forward-auth middleware and expanding platform support for Google Cloud Platform (GCP), Azure, and Oracle Cloud.

Key Responsibilities

Work extensively with Kubernetes to support the company's infrastructure and platform needs. Contribute to infrastructure and DevOps projects supporting the Saturn Cloud AI engineering platform. Develop and maintain solutions using Python and Go. Work with Terraform and Helm to support infrastructure management and deployment. Contribute to cloud platform support across GCP, Azure, and Oracle Cloud. Help develop infrastructure components and services, including authentication-related solutions. Apply engineering best practices to maintain code quality, maintainability, and testability.

Required Qualifications

Experience working with Python and Go. Hands-on experience with Kubernetes. Experience with Terraform and Helm. Strong understanding of engineering best practices, particularly code quality, maintainability, and testability. Location and Employment Type This is a full-time, fully remote position open to candidates in the United States. Why Join Saturn Cloud Remote-first culture built on trust and individual ownership. Mission-driven work focused on modern AI and machine learning infrastructure. Compensation that includes salary, equity, and benefits. Opportunity to help shape how customers adopt and scale production machine learning systems.