About this role
Role Overview
The Staff Production Engineer role at Crusoe in Dublin is an opportunity for an experienced professional to oversee and enhance infrastructure reliability for advanced AI workloads. This position suits an individual with a strong background in production engineering who wants to contribute to cutting-edge cloud infrastructure.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Crusoe operates as a vertically integrated AI infrastructure company that owns and operates every layer of the stack, ranging from electrons to tokens. The organization focuses on solving boundlessly growing demands for AI compute through an energy-first approach that makes infrastructure faster and friendlier to the world. Teammates collaborate across disciplines like energy, manufacturing, data center construction, and cloud services.
How to Apply
Candidates interested in this position should visit the official Crusoe careers page to submit their application.
Skills and tech stack
Questions candidates ask
What are the core educational or experience requirements?
Applicants must hold a Bachelor's Degree in Computer Science or a related field alongside 5+ years of professional production engineering and system architecture experience, or alternatively bring 8+ years of relevant work experience.
What programming languages and tools are required?
The role requires writing high-quality code in languages like Python or Go, and building with infrastructure and CI/CD tools such as Docker, Kubernetes, Terraform, Ansible, and GitHub Actions.
Where is this job located?
This position is located in Dublin, Ireland.
What benefits does Crusoe offer?
Benefits include full social security coverage, pension and provident fund contributions, optional private health and global life insurance, and generous parental and sick leave policies.
How is compensation determined?
Compensation is paid as a salary or hourly wage, determined by the applicant's education, experience, knowledge, skills, abilities, internal equity, and market alignment data.
