LinkedIn is seeking a Senior Software Engineering Manager to lead their Espresso SRE team, a critical component of LinkedIn's core data infrastructure. Espresso is LinkedIn's distributed, fault-tolerant NoSQL database serving approximately 30M QPS and managing 3PB of Source of Truth data for over 400 LinkedIn applications.
The role combines technical leadership with people management, requiring both deep technical expertise in distributed systems and strong leadership capabilities. Based in Mountain View, CA, this hybrid position offers the flexibility of working both remotely and from the office, emphasizing LinkedIn's culture of trust and connection.
As the SRE Manager, you'll lead a team of engineers responsible for the reliability and performance of the Espresso ecosystem, including router and storage node applications. Your responsibilities will span architecture reviews, code quality, automation implementation, and system maintenance. You'll play a crucial role in disaster recovery planning and monitoring while maintaining strong relationships with customers and partner teams across engineering.
The ideal candidate brings a minimum of 7 years of industry experience in software engineering, with at least 3 years in technical management. You should have a strong background in distributed systems, experience with object-oriented programming (particularly Java), and a proven track record of leading high-performing engineering teams.
LinkedIn offers a competitive compensation package ranging from $175,000 to $288,000 annually, plus additional benefits including health coverage, equity, and performance bonuses. The company's commitment to employee well-being, professional development, and inclusive culture makes this an exceptional opportunity for experienced engineering leaders looking to make a significant impact at scale.
This role offers the chance to work on technology that powers the world's largest professional network while leading and developing talented engineers. You'll be at the forefront of solving complex distributed systems challenges while helping shape the future of LinkedIn's critical data infrastructure.