Distributed Systems Engineer (L6) - Compute Abstractions

In this role, you will...

• Work closely with Product and Customers to design experiences that anticipate customers' needs before they do and make doing internet scale Compute easy.
• Lead the design of compute resource abstractions used by all of engineering, informing trade-offs between complexity and ease-of-use against Netflix-wide business priorities. 
• Mentor senior developers in owning the implementation and rollout of complex features that have impact across Netflix.
• Act as a liaison between Compute and other organizations to ensure cohesive changes to deliver cost efficiency and low latency.
• Set the example for operational excellence on the Abstractions team, continuously improving incident response, on-call, and other operational practices.
• Maintain currency on industry trends for new architectures, features, and off-the-shelf services; guide the team’s decision-making on incorporating industry trends.
• Develop automated systems to test for regressions and performance.

We expect that you have...

• A proven track record of architecting and implementing customer-focused products that define and modify infrastructure at 100M+ user scale.
• Driven wide change at the scale of 100’s to 1000’s of engineers to improve the interaction between engineers, infrastructure abstractions, and business outcomes such as cost or reliability.
• Architected, implemented, and owned a distributed system at the scale of 10’s of services or more, and learned from at least one notable mistake.
• Experienced technical leadership by empowering the team around you and getting the most from diverse stakeholders, including product managers, portfolio managers, peer engineers, and more.
• Provided extensive mentorship and as a result helped other engineers learn new professional skills, overcome new challenges, and earn promotions to new roles.
• A passion and reputation for building easily usable and maintainable solutions.

You will be successful if you...

• Shine when you have to balance complex customer, engineering, and other stakeholder needs, and are obsessed with optimizing for the customer whenever possible.
• Have the ability to define and self-manage cross-functional projects fueled by ambiguous questions.
• Are a self-starter, curious, and not afraid to ask when in doubt.
• Are a quick learner and excited about learning new technologies.
• Advocate thoughtful collaboration, take pride in your work, and enjoy taking full ownership of projects from conception to production.

Bonus points for...

• Experience defining compute resources at scale and understanding the challenges that configurability presents to users;
• Knowledge of building on top of Kubernetes.
• Practical experience with Golang, Java, and Python.