Staff Software Engineer Managed Orchestration Managed Kubernetes
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/14/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and scale cloud software for managed Kubernetes and AI training clusters. You will write and review code, evaluate tools and frameworks, build Kubernetes operators and controllers, lead networking and automation initiatives, design CI/CD architecture, and guide engineers through technical discussions.
Requirements
- 8+ years of software engineering experience
- Strong systems engineering experience
- 2+ years of programming experience in GoLang
- Experience with Kubernetes and Linux engineering and debugging
- Experience with infrastructure as code
- Experience with Terraform and GCP
- Understanding of Argo, CI/CD, and automated testing pipelines
- Ability to build and manage Kubernetes operators and controllers
- Excellent verbal and written communication skills
Responsibilities
- Develop scalable and robust cloud software solutions
- Write and review code
- Contribute to proposals and architecture documents
- Evaluate tools and frameworks
- Design and scale managed Kubernetes and AI training clusters
- Build and manage Kubernetes operators and controllers
- Lead networking, quality control, and automation initiatives
- Design system architecture and CI/CD pipelines
- Provide technical guidance to peers
Benefits
- Competitive compensation
- Restricted Stock Units
- Paid time off
- Paid holidays
- Comprehensive health, dental and vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance
- Short-term and long-term disability insurance
- Professional development and tuition reimbursement
- Mental health and wellness support
- Commuter benefits
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off