Remote Cloud Provisioning Engineer - Automation & Linux

HostList; United States; Remote; USD 80,000 - 100,000; Full time

Benefits offered by this job

Company-paid health insurance

401(k) with match up to 4%

Professional development reimbursement

Paid time off & holidays

Remote office setup stipend

Internet stipend

Job summary

Vultr is seeking a Provisioning Engineer to drive high-volume server activation and support rapid expansion of our global cloud infrastructure. The role emphasizes Linux automation, scripting, and scalable onboarding processes across remote deployments in the United States.

You will build and improve provisioning pipelines, imaging workflows, and coordination with the Platform, Sales, and Customer Success teams to ensure smooth onboarding during peak periods.

Qualifications

• 4+ years Linux systems administration.
• Experience with configuration management tools.
• Bachelor's degree in CS, Engineering, or equivalent.

Responsibilities

• Execute end-to-end server onboarding, imaging and bundled firmware updates.
• Manage capacity to provision new servers efficiently.
• Validate post-onboard rollout and handoff to the Platform team.
• Collaborate with Sales, Customer Success and Solutions Engineering.
• Build and improve provisioning automation pipelines.
• Maintain documentation and runbooks for repeatable workflows.

Skills

Linux administration

Bash scripting

Automation tooling

Configuration management

Remote deployment

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Ansible

Puppet

Git

Job description

Vultr is seeking a Provisioning Engineer to drive high-volume server activation and support rapid expansion of our global cloud infrastructure. The role emphasizes Linux automation, scripting, and scalable onboarding processes across remote deployments in the United States.

You will build and improve provisioning pipelines, imaging workflows, and coordination with the Platform, Sales, and Customer Success teams to ensure smooth onboarding during peak periods.