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.