Staff Network Engineer

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.
Backend
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
Enterprise SaaS

Description For Staff Network Engineer

LinkedIn is the world's largest professional network, seeking a Staff Network Engineer to join their team in Bangalore, India. This role combines technical leadership with hands-on engineering, focusing on large-scale network infrastructure for data centers. The position requires expertise in network protocols, programming, and system architecture. The ideal candidate will review and improve network designs, manage infrastructure across regions, and drive automation initiatives. Working in a hybrid environment, you'll collaborate with cross-functional teams while maintaining critical network systems. The role offers the opportunity to impact LinkedIn's global infrastructure while working with cutting-edge technologies. Key responsibilities include architecture review, network deployment, security compliance, and platform evaluation. The position requires 8+ years of experience in network engineering, strong programming skills, and deep knowledge of network protocols and technologies. LinkedIn offers a culture focused on member success and professional growth, making this an excellent opportunity for experienced network engineers looking to work at scale.

Last updated 3 days ago

Responsibilities For Staff Network Engineer

  • Review architectures, network designs, automated network provisioning and tools
  • Design, deploy, and operate large-scale network for data center infrastructure
  • Perform network maintenance and upgrades
  • Network security and compliance
  • Participate in on-call rotation
  • Evaluate new platforms to address scaling challenges

Requirements For Staff Network Engineer

Python
Go
Kubernetes
Linux
  • BA/BS Degree in a technical field or equivalent practical experience
  • 8+ years of proven hands-on industry experience in network and data center engineering
  • Understanding of network protocols (TCP/IP, BGP, MPLS, RDMA)
  • Experience in programming languages like Python, Go
  • Knowledge in Kubernetes, host networking, host TCP tuning
  • Experience in network congestion control solutions
  • Experience with network management and configuration systems

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