Who We Are
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 Associate Infrastructure Production Engineer to ensure GPU hardware validation and readiness across our global production environment. The ideal candidate is an analytical problem-solver with strong Linux skills, Python scripting ability, and a detail-oriented approach to infrastructure validation and automation. This is a highly visible role in a high-growth technology company, which will require collaboration with engineering teams to refine testing processes, close gaps in automation coverage, and build technical solutions that reduce deployment risk and improve production standards. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.
Key Responsibilities
Design, develop, and maintain automated diagnostic, validation, and remediation frameworks for production GPU hardware (NVIDIA and AMD) using vendor tooling, Python, and infrastructure automation technologies.
Engineer and support Python-based agents, services, APIs, and Ansible automation (playbooks, roles, pipelines) that orchestrate hardware provisioning, telemetry collection, health monitoring, and production onboarding workflows.
Analyze workload performance, utilization, thermals, and diagnostic output to identify hardware and system issues, enhance validation methodologies, and improve infrastructure readiness standards.
Execute and evolve testing and verification processes for production onboarding and Return Material Authorization (RMA), developing automation enhancements to improve reliability, scalability, and coverage.
Contribute to production stability by building tooling that gates hardware deployment, enforces quality standards, and reduces systemic infrastructure risk.
Document system designs, automation logic, validation methodologies, and operational guidance; maintain accurate Jira records reflecting engineering activities, findings, and outcomes.
Identify gaps or inefficiencies within testing, validation, or automation processes and design technical solutions to address them in collaboration with engineering teams.
Qualifications
Strong analytical skills and attention to detail with the ability to evaluate, enhance, and optimize validation and testing methodologies.
Ability to clearly document work performed, including commands executed, observations, and outcomes
Strong Linux proficiency, and experience working within Linux production environments in command-line system contexts.
Ability to design, write, and modify Python and shell scripts to support infrastructure diagnostics, automation, and validation workflows (required after initial training).
Familiarity with infrastructure automation or configuration management frameworks such as Ansible is strongly preferred.
Strong written and verbal communication skills and the ability to collaborate effectively with technical teams
Understanding of data center networking concepts and protocols such as DHCP, IPv6, and ICMP
Ability to collaborate with engineering teams to deliver automation solutions, reliability improvements, and production-ready tooling.
Compensation
$60,000 - $80,000
Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws
We are currently accepting applications from candidates residing in the following states: Alabama, Arizona, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nebraska, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Wisconsin
Inclusion & Privacy
We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.
We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.
Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy.