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Senior Database Solutions Engineer

Los Gatos, California

Sourced by

Yuri Zats

Manager, Cloud Data Engineering at Netflix

15

 mentoring sessions

7

 mentees met

Since Nov. 2020

See Mentor Profile

Netflix

About Netflix: Netflix is the world's leading streaming entertainment service with 204 million paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

About the team: The Database Solutions team is part of Cloud Data Engineering (CDE) -- the organization responsible for persistence as a service for the rest of Netflix. CDE handles data at a tremendous scale (hundreds of TB at the caching layer and multiple PB in the persistence layer), and must continually plan for more as we build the next generation of entertainment.

The Data Solutions team represents CDE at Netflix. We work directly with developers across the company to understand their persistence needs and help them identify and use datastore offerings effectively, taking into account their performance and availability requirements. We’re looking for a teammate who’s interested in distributed systems and databases, enjoys interacting with customers, and has an engineering mindset to develop infrastructure efficiency and capacity planning tooling.

About the Role 

About Netflix: Netflix is the world's leading streaming entertainment service with 204 million paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

About the team: The Database Solutions team is part of Cloud Data Engineering (CDE) -- the organization responsible for persistence as a service for the rest of Netflix. CDE handles data at a tremendous scale (hundreds of TB at the caching layer and multiple PB in the persistence layer), and must continually plan for more as we build the next generation of entertainment.

The Data Solutions team represents CDE at Netflix. We work directly with developers across the company to understand their persistence needs and help them identify and use datastore offerings effectively, taking into account their performance and availability requirements. We’re looking for a teammate who’s interested in distributed systems and databases, enjoys interacting with customers, and has an engineering mindset to develop infrastructure efficiency and capacity planning tooling.

What you’ll be doing:

  • As a Database Solutions Engineer, you will build a good understanding of a wide breadth of OSS and proprietary datastore offerings, their benefits, shortcomings, and secure data practices. You will use this knowledge to help customers use the right offering and configuration for their persistence needs.
  • You will educate and evangelize best data practices to our customers through memos, educational sessions, labs and presentations.
  • You will collaborate with other team members to build tools that can help handle various challenges in the solutions area, eg. proactive automated capacity planning, cost and efficiency improvements tools, as well as benchmarking tools to help evaluate different datastore options.
  • You will collaborate with other CDE engineers to drive feature implementations and abstractions that are most valuable to our customers.
  • You will drive migration initiatives and data model redesign when our customers’ data needs evolve.

Requirements

You’ll be a great match if you have:

  • Excellent communication skills and a customer-centric mindset
  • Experience working with Cassandra, CockroachDB, Zookeeper or Elasticsearch
  • Proficiency in Java, Scala, or Python
  • Experience with cloud computing platforms such as AWS or GCP
  • Understanding of scalability and reliability concerns for data-intensive applications Even better if you also have
  • Experience with on-call rotation
  • Experience with schema design and data modeling
  • Experience in developing high-leverage automation or analytics tooling
  • Open-source contributions or passion projects on Github

Related Plato Mentors 

[object Object]

-

 mentoring sessions

 mentees met

See Mentor Profile
[object Object]

-

15

 mentoring sessions

7

 mentees met

Since Nov. 2020

See Mentor Profile
[object Object]

-

15

 mentoring sessions

7

 mentees met

Since Nov. 2020

See Mentor Profile