Distributed Systems Engineer (L5) - Compute Abstractions

Netflix's Compute organization is seeking a Staff Software Engineer to join their Compute Abstractions team, which is responsible for managing one of the largest Cloud footprints in the industry. This role offers an opportunity to work on internet-scale cloud infrastructure, focusing on increasing fleet-wide agility, efficiency, and reliability.

The position requires a highly skilled engineer with extensive experience in evolving large-scale infrastructure systems. You'll be working with cutting-edge technology, including AWS cloud services and Kubernetes, while designing compute abstractions that serve all of Netflix's engineering teams. The role combines technical leadership with hands-on development, requiring both architectural vision and practical implementation skills.

As a Staff Engineer, you'll be instrumental in designing and implementing solutions that enable Netflix's massive cloud infrastructure to operate efficiently at scale. You'll work closely with Product and Customers to create intuitive experiences that anticipate needs and make internet-scale computing accessible. The role involves mentoring peers, driving operational excellence, and maintaining awareness of industry trends to inform strategic decisions.

The compensation is highly competitive, ranging from $100,000 to $720,000, with flexibility to choose between salary and stock options. Netflix offers comprehensive benefits including health plans, mental health support, 401(k) with employer match, and generous time off policies. The company strongly values inclusion and diversity, fostering an environment where innovation and creativity thrive.

This is an exceptional opportunity for a seasoned distributed systems engineer who wants to impact how one of the world's leading streaming services operates at scale. You'll be at the forefront of cloud computing, solving unique challenges that come with supporting hundreds of millions of customers globally while working with a team that pushes the boundaries of performance and resilience.