Staff Software Engineer, Managed Orchestration (Managed Kubernetes)

Crusoe•Sunnyvale, CA

About The Position

We are actively seeking an exceptional Staff Software Engineer for our cloud software team who will contribute to the operations of our cutting-edge infrastructure. Your expertise will be instrumental in designing and scaling our carbon-reducing operating model, as well as managing critical hardware, software, and network components. In this role, you will be involved in writing and reviewing code, contributing to proposals and architecture documents. You will evaluate tools and frameworks, carefully considering their impact on reliability, scalability, operational costs, and ease of adoption. Your expertise in orchestration and optimization will be instrumental in advancing our managed Kubernetes and AI training clusters, ensuring they lead the industry in reliability and performance.

Requirements

8+ years of experience working in software engineering
Strong experience in Systems Engineering
2+ years of programming experience in GoLang
Experience with Kubernetes and Linux Engineering and debugging
Skilled in infrastructure as code
Familiar with systems-level challenges
Experience with Terraform
Understand Argo, CI/CD, and Automated Testing pipelines
Excellent communication skills, both verbal and written

Nice To Haves

Experience with GCP

Responsibilities

Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap
Work collaboratively with tech leads and engineers to create a dynamic environment where creativity and technical excellence are encouraged, leading to the development of cutting-edge cloud solutions
Continuously stay abreast of the latest trends and techniques in cloud software, incorporating these insights to keep Crusoe’s offerings innovative
While you won’t have formal management responsibilities, you will support the development of your peers by sharing knowledge and providing guidance in technical discussions
Write and review code
Contribute to proposals and architecture documents
Evaluate tools and frameworks, carefully considering their impact on reliability, scalability, operational costs, and ease of adoption
Advance managed Kubernetes and AI training clusters, ensuring they lead the industry in reliability and performance
Build and manage Kubernetes operators and controllers, developing and maintaining essential components that ensure the reliability and efficiency of the Kubernetes environment
Develop scalable systems to compete with leading services like Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS)
Oversee critical projects with broad impact, leading initiatives focused on networking, quality control, and automation to ensure optimal performance and reliability
Design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards