Network DevOps Engineer, RDMA Fabric Automation – Multiple Openings

Webhosting

Northern (KY)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

100% company-paid health insurance
401(k) match up to 4%
Professional development reimbursement

Job summary

Vultr is seeking a highly skilled Network DevOps Engineer to automate and operate our RoCE-based Ethernet fabrics across global data centers. This role sits at the crossroads of network engineering, operations, automation, and observability, building tooling and telemetry pipelines to keep fabrics fast, deterministic, and reliable at scale.

The position emphasizes collaboration with platform and product teams, CI/CD for network changes, and solving complex RDMA performance challenges to ensure

Responsibilities

  • Automate deployment and operations of large-scale RDMA (RoCEv2) Ethernet fabrics across Vultr data centers.
  • Build Ansible and Python-based frameworks to provision, validate, and remediate underlay and overlay networks.
  • Integrate network automation with Vultr’s source-of-truth systems (NetBox, OpsMill) for intent-driven configuration and validation.
  • Develop telemetry ingestion and correlation pipelines (gNMI, Prometheus, Kafka, custom collectors) for real-time network health and performance metrics.
  • Collaborate with platform, orchestration, and product engineering teams to optimize RDMA performance, PFC/ECN behavior, and path symmetry across fabrics.
  • Implement CI/CD workflows for network configuration changes – validation, pre-checks, and rollbacks.
  • Investigate complex network behaviors across layers – flow hashing, congestion domains, ECMP, and overlay interactions.
  • Contribute to the design of next-generation GPU and AI interconnect fabrics, ensuring seamless integration into Vultr’s global network architecture

Job description

Network DevOps Engineer, RDMA Fabric Automation – Multiple Openings

Remote Full-time Not specified Infrastructure

Job Description

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 NetDevOps Engineer to help us evolve, automate and operate our RoCE-based Ethernet fabrics. This is a highly visible role in a high-growth technology company where you’ll be working at the intersection of network engineering, operations, automation, and observability. Building and operating the tooling and telemetry pipelines that keep the network fabrics fast, deterministic, and reliable at global scale. This is your opportunity to join our fast growing team that moves quickly, thinks programmatically and treats networks as software systems

Key Responsibilities

Automate deployment and operations of large-scale RDMA (RoCEv2) Ethernet fabrics across Vultr data centers.

Build Ansible and Python-based frameworks to provision, validate, and remediate underlay and overlay networks.

Integrate network automation with Vultr’s source-of-truth systems (NetBox, OpsMill) for intent-driven configuration and validation.

Develop telemetry ingestion and correlation pipelines (gNMI, Prometheus, Kafka, custom collectors) for real-time network health and performance metrics.

Collaborate with platform, orchestration, and product engineering teams to optimize RDMA performance, PFC/ECN behavior, and path symmetry across fabrics.

Implement CI/CD workflows for network configuration changes – validation, pre-checks, and rollbacks.

Investigate complex network behaviors across layers – flow hashing, congestion domains, ECMP, and overlay interactions.

Contribute to the design of next-generation GPU and AI interconnect fabrics, ensuring seamless integration into Vultr’s global network architecture

Compensation

$90,000 – $130,000

Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.

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 .

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