R

RZR

Cross-channel DSP for growth marketing

Network Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • At least 3 years of professional network engineering experience; 6 or more years for Senior-level consideration.
  • Deep familiarity with Mellanox Spectrum switches and ConnectX adapters.
  • Strong proficiency in Cumulus Linux and general Linux system administration.
  • Hands-on experience with Netris for VPC-style networking on-premises or in hybrid cloud environments.
  • Expert-level knowledge of BGP, OSPF, EVPN-VXLAN, and LACP.
  • Proficiency in Python or Go for network automation.
  • A bachelor's or master's degree in Computer Science, Engineering, or a related technical field.

Responsibilities

  • Design, deploy, and maintain high-density data center networks utilizing Mellanox switches and adapters.
  • Administer and optimize network nodes running Cumulus Linux, ensuring stable and high-performance routing and switching.
  • Manage and orchestrate network operations using Netris for automated, controller-based networking.
  • Monitor and tune network performance for real-time systems, focusing on throughput and latency.
  • Implement and manage firewall rules, virtual private networks, and access control lists to protect infrastructure and data assets.
  • Develop automation workflows to eliminate manual configuration, improve consistency, and accelerate deployment cycles.
  • Own the design, implementation, and day-to-day management of the network infrastructure powering the programmatic demand-side platform.
  • Collaborate closely with global infrastructure and backend engineering teams to deliver a network environment that scales with the business.

About the Company

RZR

Cross-channel DSP for growth marketing

RZR is a growth marketing intelligence platform that unifies and optimizes advertising campaigns across mobile, retargeting, and Connected TV. Its DSP uses a proprietary neural architecture to analyze billions of signals in real time and predict a user’s lifetime value before bidding, guiding campaigns toward higher-value outcomes like ROAS and long-term retention. The platform emphasizes cross-channel integration and a single connected performance system, powered by global data centers and ML models to scale for brands in gaming, retail, and entertainment. The goal is to help brands increase marketing effectiveness across channels through value-based bidding and attribution.

Company size
51-200
Company stage
Acquired
Total funding
$1.7M
Headquarters
United States
Founded
2010

Recently Posted Jobs

Explore more opportunities at RZR

See more jobs