Senior Backend Engineer - Real-Time Bidding & ML at Scale

RZR Global Inc.; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

RZR Global Inc. in San Francisco is seeking a Software Engineer (Backend) to join the core engineering team. You will help build the real-time bidding engine that processes millions of bid requests per second with sub-100ms latency.

Work alongside data scientists, infra engineers, and product stakeholders in a hybrid setting. You will own features end-to-end and contribute to architecture, scalability, and reliability.

Qualifications

• 3+ years backend development experience in low-latency or distributed environments.
• Proficiency in Rust, C++, Go, or Java with production experience.
• Strong knowledge of multithreading, memory management and network I/O.
• Experience with distributed systems (queues, sharding, replication, failover).
• Familiarity with CI/CD and containerized deployment (Docker/Kubernetes a plus).
• Bachelor's or Master's in CS/Engineering.

Responsibilities

• Design, develop, and maintain high-performance backend services for real-time bidding.
• Build and optimize distributed systems with millions of queries per second.
• Collaborate with data scientists to deploy ML models.
• Improve scalability, observability, and fault tolerance.
• Mentor junior engineers and contribute to team practices.
• Participate in code reviews and performance debugging.

Skills

Backend development

Rust

C++

Go

Java

Multithreading

Distributed systems

Profiling tools

CI/CD

Docker

Kubernetes

Real-time bidding

Education

Bachelor's degree in CS/Engineering

Master's degree

Tools

Docker

Kubernetes

Job description

RZR Global Inc. in San Francisco is seeking a Software Engineer (Backend) to join the core engineering team. You will help build the real-time bidding engine that processes millions of bid requests per second with sub-100ms latency.

Work alongside data scientists, infra engineers, and product stakeholders in a hybrid setting. You will own features end-to-end and contribute to architecture, scalability, and reliability.