LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their Compute Infrastructure team. This role presents an exciting opportunity to work on LinkedIn's next-generation infrastructure and platforms, specifically focusing on the company's Kubernetes Infrastructure team.
The position involves building and maintaining an on-premises Kubernetes platform that serves the entire company. You'll be responsible for creating Kubernetes clusters on-demand, developing multi-cluster solutions, automating upgrades, and implementing intelligent health detection and remediation systems.
As a staff engineer, you'll play a crucial role in shaping technical strategy and solving complex, open-ended problems that impact the entire engineering organization. The role requires expertise in distributed systems, Kubernetes ecosystem, and preferably Golang programming. You'll work with experienced engineers to develop robust, scalable solutions that support LinkedIn's rapidly growing user base.
Key responsibilities include owning technical strategy, designing large-scale distributed systems, improving system observability, mentoring other engineers, and driving innovation. The ideal candidate should have 8+ years of relevant experience, strong programming skills in languages like Go, Java, or Python, and extensive experience with Kubernetes and distributed systems.
LinkedIn offers a flexible hybrid work environment, allowing you to work both remotely and from office locations in Mountain View, San Francisco, or Bellevue. The company provides comprehensive benefits including health and wellness programs, generous time away, annual performance bonuses, and stock options.
This is an excellent opportunity for a senior technologist who wants to make a significant impact at scale while working with cutting-edge cloud infrastructure technologies. You'll be part of a team that values collaboration, innovation, and technical excellence, while helping to build and maintain critical infrastructure that powers one of the world's largest professional networks.