DevOps Engineer (Remote – US) - Full-Time

Role overview

Own the reliability and delivery foundations for a cloud platform serving data science and machine learning workloads. This senior DevOps role centers on Kubernetes-based infrastructure, infrastructure automation, and the engineering systems that enable secure, scalable deployments across multiple cloud environments. The work combines hands-on platform development with strong attention to maintainability, testing, and operational quality.

Responsibilities

- Design, operate, and improve Kubernetes-based infrastructure and deployment workflows. - Build and maintain platform services, including authentication components and supporting middleware. - Extend infrastructure capabilities across cloud providers such as Google Cloud, Microsoft Azure, and Oracle Cloud. - Use Terraform and Helm to manage repeatable infrastructure and application deployments. - Collaborate on reliability, scalability, security, and operational improvements for production systems. - Contribute to engineering practices that keep code clear, testable, maintainable, and dependable.

Requirements

- Professional experience in a senior DevOps or closely related infrastructure engineering role. - Strong practical experience with Kubernetes. - Working proficiency in Python and Go. - Experience using Terraform and Helm for infrastructure and deployment automation. - A disciplined approach to software quality, including code maintainability and testability.

Benefits and work setup

- Fully remote position for candidates based in the United States. - Remote-first, high-trust environment with substantial ownership. - Work focused on modern AI and machine learning infrastructure. - Compensation package includes salary, equity, medical, dental and vision coverage, a 401(k), and flexible paid time off.