Staff Software Engineer - Compute Infrastructure at LinkedIn3

This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc. In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment. Responsibilities • You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. • You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. • You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance • You will communicate with the team, partners and stakeholders. • You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team • You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale • You will diagnose technical problems, debug in production environments, and automate routine tasks