LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their Systems and Infrastructure team. This role offers an exciting opportunity to work on cutting-edge infrastructure projects at massive scale.
As a Staff Software Engineer, you'll be responsible for building next-generation infrastructure and platforms that power LinkedIn's services. This includes working on critical systems like application and service delivery platforms, compute platforms, massively scalable data storage and replication systems, cutting-edge search platforms, AI platforms, experimentation platforms, and privacy/compliance platforms.
The position requires expertise in distributed systems and a track record of delivering complex technical solutions. You'll be working with technologies like Kubernetes, GRPC, GraphQL, and various open-source projects. LinkedIn has a strong history of contributing to the open-source community, having pioneered projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, and Feather.
The role offers a hybrid work arrangement, allowing flexibility between remote work and office presence in either Mountain View, CA, San Francisco, CA, or Bellevue, WA. LinkedIn's culture emphasizes trust, care, inclusion, and fun, providing an environment where everyone can succeed.
Key responsibilities include owning technical strategy for complex requirements, designing and implementing large-scale distributed systems, improving system observability, mentoring other engineers, and working closely with the open-source community. The position offers competitive compensation ($156,000 - $255,000), along with benefits including health coverage, wellness programs, annual performance bonus, and stock options.
This is an excellent opportunity for experienced engineers who want to make a significant impact while working with cutting-edge technologies at scale. The role combines technical leadership, hands-on development, and the chance to influence the broader technology community through open-source contributions.