Storage Operations Engineer

Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.

Vultr Cares

100% company-paid insurance premiums for employee medical, dental and vision plans.

401(k) plan that matches 100% up to 4%, with immediate vesting

Professional Development Reimbursement of $2,500 each year

11 Holidays + Paid Time Off Accrual + Rollover Plan

Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year

$500 stipend for remote office setup in first year + $400 each following year

Internet reimbursement up to $75 per month

Gym membership reimbursement up to $50 per month

Company paid Wellable subscription

Join Vultr

Vultr is seeking a highly skilled and experienced Storage Operations Engineer to build, maintain, and operate Vultr Cloud Storage environments. The ideal candidate is intimately familiar with the day-to-day operations of software-defined scale-out storage systems, such as Ceph. This is a highly visible role in a high-growth technology company, which will require knowledge of Linux, server-class storage hardware, networking technologies, Linux systems, virtualization technologies and Kubernetes. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.

Key Responsibilities

Continually enhance the Ceph-based Cloud Storage System in terms of stability, scalability, functionality, performance and cost