Senior Director, Network Intelligence
VultrAbout the role
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
Excellent Medical Benefits w/ 100% company-paid premiums for employee only plan + 100% company-paid dental & vision premiums
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 + take your birthday off
Commitment matters to Vultr! Increased PTO at 3 year & 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
$500 first year remote office setup + $400 each following year for new equipment
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 Sr. Director, Network Intelligence to architect, deploy, and scale a comprehensive network telemetry and data intelligence platform.. The ideal candidate is a deeply technical expert with an extensive background in extracting actionable intelligence from large-scale network data, alongside proven experience building the infrastructure required to operationalize it.. This is a highly visible role in a high-growth technology company, which will require strategic leadership and technical execution to establish a foundational platform that directly secures and optimizes our global infrastructure. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.
Key Responsibilities
Architect the foundational specifications for the global network telemetry ecosystem and exercise full ownership over the intelligence framework. As the primary stakeholder for telemetry pipelines, you will lead the strategic design of data lakes, implement sophisticated real-time enrichment protocols, and enforce rigorous data governance across the network intelligence landscape.
Direct the global DDoS detection framework and overarching mitigation policies. You will be responsible for defining attack classifications, establishing rigorous detection thresholds, and engineering the logic that governs automated mitigation response protocols.
Design threat detection mechanisms and infrastructure to combat hackers, mitigate network security risks, and enhance overall trust and safety across the platform.
Establish comprehensive data reporting structures to provide deep visibility into network performance, security events, and operational health.
Build detection and reporting capabilities for protecting IP and network reputation
Lead capacity management and network monetization initiatives. Backbone/peering cost analysis, GPU customer traffic profiling, oversubscription modeling, and identifying opportunities to price and monetize network capabilities based on real usage data.
Collaborate with engineering and finance stakeholders to architect and operationalize a comprehensive, telemetry-driven billing ecosystem for precise usage monitoring.
Manage, mentor, and scale a high-performing engineering team focused on network security, data pipelines, and infrastructure intelligence.
Qualifications
10+ years of experience in large-scale network engineering, network security, or data infrastructure roles within a global cloud or service provider environment.
Deep technical expertise in network telemetry protocols, flow analysis (NetFlow, sFlow, IPFIX), and processing massive data pipelines in real time.
Demonstrated history of architecting and managing large-scale DDoS defense architectures, encompassing the creation of detection algorithms, defensive policy frameworks, and real-time incident response workflows.
Proven ability to leverage unsupervised machine learning models and statistical methodologies against massive network datasets to facilitate automated anomaly identification, demand forecasting, and behavioral modeling.
Hands-on experience deploying di
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