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 high-impact projects that will shape the future of LinkedIn's engineering infrastructure.
The position focuses on the LinkedIn Kubernetes Infrastructure team, which provides an on-premises Kubernetes platform serving the entire company. You'll be responsible for creating solutions that enable efficient cluster creation, multi-cluster management, automated upgrades, and intelligent health monitoring and remediation.
As a Staff Engineer, you'll play a crucial role in designing and implementing solutions that help LinkedIn scale its Compute Infrastructure to meet the demands of its growing user base. The role requires collaboration with experienced engineers and cross-functional teams in a fast-paced environment.
Key responsibilities include owning technical strategy for complex requirements, designing and optimizing large-scale distributed systems, improving system observability, mentoring other engineers, and driving innovation. You'll be working with modern technologies like Kubernetes and Golang, while focusing on building robust, scalable, and efficient solutions.
The position offers flexibility with hybrid work options across multiple locations (Mountain View, San Francisco, or Bellevue). LinkedIn provides a competitive compensation package and fosters an inclusive environment where everyone can contribute to creating economic opportunity for the global workforce.
This role is ideal for experienced engineers who are passionate about distributed systems, have strong technical leadership skills, and want to make a significant impact on infrastructure that powers one of the world's largest professional networks. You'll have the opportunity to work on challenging technical problems while helping to build and mentor a growing team.
The role requires significant experience in software development, particularly with distributed systems and Kubernetes, making it perfect for those who want to advance their career while working on cutting-edge infrastructure technology.