LinkedIn, the world's largest professional network, is seeking a Staff Software Engineer to join their frontend team in Mountain View, CA. This hybrid role offers an exciting opportunity to work on internal tooling that drives LinkedIn's infrastructure efficiency and capacity planning.
The position involves developing sophisticated UI/CLI/API solutions that help teams manage hardware investments, monitor capacity utilization, and optimize infrastructure usage. As a Staff Engineer, you'll be at the forefront of creating scalable applications that maintain 24/7 uptime for mission-critical systems.
The role combines technical excellence with leadership responsibilities. You'll be designing distributed applications, creating reusable UI components, and establishing engineering best practices. The position requires expertise in modern frontend technologies, API development, and database design, with a focus on building user-centric applications that deliver measurable business value.
Key technical aspects include working with frontend frameworks, RESTful APIs, database systems, and CLI development. You'll be responsible for maintaining high code quality through thorough testing and review processes. The role also emphasizes mentorship, allowing you to guide junior engineers and influence technical decisions across teams.
LinkedIn offers a competitive compensation package ranging from $147,000 to $240,000, along with comprehensive benefits including medical, dental, and vision insurance, 401k, and parental leave. The company culture emphasizes trust, inclusion, and professional growth, with a flexible hybrid work arrangement that balances remote work with in-office collaboration.
This is an excellent opportunity for experienced engineers who want to impact millions of users while working with cutting-edge technologies in a collaborative environment. The position offers both technical challenges and leadership opportunities, making it ideal for those looking to advance their careers while working on meaningful projects at scale.