LinkedIn is seeking a Staff Software Engineer to join their Compute Infrastructure team, specifically working on the LinkedIn Kubernetes Infrastructure. This role offers a unique opportunity to work on a high-profile, high-impact project that will touch every aspect of the engineering organization.
As a staff member, you will be responsible for:
- Owning the technical strategy for broad or complex requirements
- Designing and implementing large-scale distributed systems
- Improving observability and understandability of various systems
- Communicating with team members, partners, and stakeholders
- Mentoring other engineers and defining the technical culture
- Driving innovation while iteratively building and shipping software at scale
- Diagnosing technical problems and debugging in production environments
The ideal candidate will have:
- 8+ years of relevant work experience (or equivalent combination of education and experience)
- Experience in architecting, building, and running large-scale distributed systems
- Hands-on experience with the Kubernetes ecosystem
- Experience with Kubernetes controller development and automating cluster management
- Golang coding experience
- Familiarity with technologies such as Hadoop, Spark, GraphQL, GRPC, Apache Kafka, etc.
This role offers a hybrid work option, allowing you to work both from home and commute to a LinkedIn office. The position can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
Join LinkedIn to challenge yourself with work that matters and be part of a team that's building the next-generation infrastructure and platforms for a rapidly growing user base.