LinkedIn is seeking a Staff Software Engineer to join our Systems and Infrastructure team, working on next-generation platforms that power LinkedIn's global professional network. This role offers an exciting opportunity to work on cutting-edge distributed systems and infrastructure at massive scale.
As a Staff Software Engineer, you'll be responsible for designing and implementing critical infrastructure components including application delivery platforms, compute platforms, scalable data storage systems, AI platforms, and experimentation frameworks. You'll work with technologies like Apache Kafka, Pinot, Kubernetes, and contribute to LinkedIn's impressive portfolio of open-source projects.
The role requires deep expertise in distributed systems, strong coding abilities in languages like Java, Python, Go or Rust, and experience building large-scale backend systems. You'll need to think strategically about technical architecture while also being hands-on with implementation. Strong communication skills are essential as you'll work across teams and mentor other engineers.
LinkedIn offers an excellent compensation package including base salary, annual bonus, and equity. The hybrid work environment provides flexibility while maintaining strong team collaboration. You'll be part of an engineering culture that values innovation, open source contribution, and career growth.
This is an opportunity to work on challenging technical problems at scale, alongside talented engineers who have built industry-standard technologies. You'll help shape the future of professional networking while working with cutting-edge infrastructure technologies. The role offers significant technical ownership and the chance to make a real impact on products used by millions of professionals worldwide.
If you're passionate about distributed systems, love solving complex technical challenges, and want to work on open source projects that help developers globally, this role offers an exciting opportunity to advance your career while working on meaningful technical problems.