Senior Network Production Engineer: AI-Driven Data Center & Backbone

Meta; Denver (CO); On-site; USD 150,000 - 230,000; Full time

Job summary

Meta is seeking a Network Production Engineer to design, build, and operate our global backbone, datacenter, and AI network. You will own the full lifecycle from planning to deployment, focusing on scalable, automated solutions and data analytics to ensure reliability and efficiency across our worldwide network.

You will collaborate with hardware, software, and sourcing teams to push forward innovative networking designs and tackle AI workload challenges powering Meta products.

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.

Responsibilities

• Establish and implement global best practices and design new scalable network solutions.
• Conceptualize, build, and maintain automation and tools to support New Product Introductions, network deployment, release engineering, and operations.
• Design and develop solutions that scale across hardware platforms of network equipment.
• Lead enhancements of automation for CI, validations, testing infrastructure, release, and configuration management across backbone, data center, and edge networks.
• Collaborate with hardware, software, and sourcing teams to develop new networking solutions and influence future infrastructure.
• Investigate complex network issues across automated tooling, hardware failures, and network problems.
• Develop operational process improvements and automated workflows to boost efficiency.
• Drive cross-functional alignment, remove bottlenecks, and deliver automation solutions.

Skills

Python

C++

Go

Rust

Networking fundamentals

Cross-functional collaboration

On-call readiness

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Juniper

Cisco

Arista

Brocade

NMS systems

Job description

Meta is seeking a Network Production Engineer to design, build, and operate our global backbone, datacenter, and AI network. You will own the full lifecycle from planning to deployment, focusing on scalable, automated solutions and data analytics to ensure reliability and efficiency across our worldwide network.

You will collaborate with hardware, software, and sourcing teams to push forward innovative networking designs and tackle AI workload challenges powering Meta products.