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Netflix

Distributed Systems Engineer (L5) - Managed Compute

Posted Yesterday
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Remote
Hiring Remotely in USA
100K-720K
Senior level
Remote
Hiring Remotely in USA
100K-720K
Senior level
Develop and maintain large-scale distributed systems, mentor engineers, and drive operational excellence while enhancing customer-focused solutions in cloud environments.
The summary above was generated by AI

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About the Team

Netflix’s Compute organization owns our internet-scale cloud footprint. We constantly innovate to increase fleet-wide agility, efficiency, and reliability of this infrastructure. We build, operate, and maintain Compute services so that Netflix developers can rely on foundational building blocks that enable a “set it and forget it” approach to achieving scalability and cost efficiency. Join us as we push the boundaries of performance and resilience, empowering developers to create groundbreaking applications on a reliable platform.

In Compute Abstractions, we believe getting up and running in the cloud quickly should be the easiest step to getting your service running in the cloud. To help our internal customers do this, we offer APIs and managed configurations on our compute platform, Titus, that abstract away compute resource complexity and scaling responsiveness. We see the future as one where our customers can rely on industry-leading, scalable, right-sized, and optimized compute without the need to know anything about where or on what their workloads run. 

About the Role

 We are seeking a highly skilled and accomplished engineer with demonstrable experience in evolving large-scale infrastructure systems and abstractions on that infrastructure. The ideal candidate will bring a combination of leading innovative solutions across functional teams and hands-on development experience in complex distributed systems, backend services, AWS/cloud, and Kubernetes.

 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 computing easy.

  • Design compute abstractions used by all of engineering, informing trade-offs between complexity and ease-of-use against Netflix-wide business priorities. 

  • Mentor peer engineers in building, maintaining, and deploying complex features that have an impact across Netflix.

  • Drive 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; make recommendations on incorporating industry trends.

Desired Skills & Experience:

  • A proven track record of architecting and implementing customer-focused products (large-scale distributed systems) that define and modify infrastructure.

  • Excellent communication, negotiation, and relationship-building skills.

  • Demonstrated ability to drive infrastructure changes at scale

  • Passion for technology, pragmatic thinking, ability to jump into an ambiguous area and break down complex problems.

  • Hands-on experience with Kubernetes and how to abstract away its complexities.

  • Experience with Golang, Java, and/or Python.

  • Passion for building for ease of use for the customer.

You will be successful in this role 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.

  • Have read about Netflix’s culture and think you would thrive here.

*****************

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Top Skills

Go
Java
Kubernetes
Python

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