Staff Software Engineer - Compute Infrastructure

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 LinkedIn 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 designing and implementing solutions that enable LinkedIn to scale its Compute Infrastructure to meet the demands of its rapidly growing user base. You'll work alongside experienced engineers in a fast-paced, dynamic environment, focusing on developing robust, scalable, and efficient solutions.

The role offers a hybrid work arrangement, allowing you to work both remotely and from LinkedIn offices in Mountain View, San Francisco, or Bellevue. You'll be part of a culture that values innovation, mentorship, and technical excellence. The position comes with competitive compensation ($156,000 - $255,000), along with benefits including health and wellness programs, performance bonuses, and equity compensation.

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 extensive experience with Kubernetes, distributed systems, and Golang, along with strong communication skills and a proven track record of delivering complex technical solutions.

This is an excellent opportunity for a seasoned engineer looking to make a significant impact at scale while working with cutting-edge cloud infrastructure technologies.