Staff Software Engineer - Systems Infrastructure

LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their Systems Infrastructure team. This is a hybrid role that can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.

As a Staff Software Engineer, you'll be part of LinkedIn's world-class software engineering team, responsible for building next-generation infrastructure and platforms. These include application and service delivery platforms, compute platforms, massively scalable data storage and replication systems, cutting-edge search platforms, best-in-class AI platforms, experimentation platforms, and privacy/compliance platforms.

LinkedIn has an impressive track record of pioneering open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, and Feather. You'll work with industry-standard open source infrastructure products like Kubernetes, GRPC, and GraphQL, while having the opportunity to share knowledge with the broader community and make significant impact within the company.

The role requires a strong background in distributed systems and software engineering, with at least 8 years of relevant experience. You'll be responsible for owning technical strategy, designing and implementing large-scale distributed systems, improving system observability, mentoring other engineers, and working closely with the open-source community.

LinkedIn offers a competitive compensation package ranging from $156,000 to $255,000, plus additional benefits including health and wellness programs, generous time away, annual performance bonus, and stock compensation. The company strongly believes in work-life balance and maintains a culture built on trust, care, inclusion, and fun.

This is an excellent opportunity for a seasoned engineer who wants to work on challenging technical problems at scale while contributing to open-source projects and mentoring others. The role offers significant technical ownership and the chance to influence the direction of LinkedIn's infrastructure platforms.