Engineering Manager - Infrastructure Tooling, Data Platform

3 Months ago • All levels • Software Development & Engineering

Job Summary

Job Description

The Engineering Manager for Infrastructure Tooling within Netflix's Data Platform will lead a team of 8-10 engineers in Poland. Responsibilities include partnering with domain infrastructure teams to deliver tooling for strategic products, building strong cross-functional partnerships, scaling the team, and ensuring the delivery of stable, performant, and efficient services. The team focuses on advancing testing infrastructure, developing reference applications, implementing testing fakes, bringing stateful systems to the Netflix paved path, creating automated migration tooling, and establishing correctness and performance parity. The ideal candidate will have experience building and running infrastructure for high-scale, reliable platform systems, a proven track record of delivering results, and experience building inclusive and diverse engineering teams. Experience with distributed systems and data platform technologies like Cassandra, Elastic Search, Spark, Iceberg, Kafka, or Flink is highly desirable.
Must have:
  • Lead distributed engineering teams
  • Build and maintain strong partnerships
  • Deliver stable, performant services
  • Experience with high-scale systems
  • Proven track record of timely delivery
Good to have:
  • Cassandra, Elastic Search, Spark
  • Iceberg, Kafka, Flink experience
  • Experience building inclusive teams

Job Details

Netflix is one of the world's leading entertainment services, with 283 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.

Data Platform (DP) team is a central team in Netflix that enables business and technical talent to scale effectively in all business domains like Member Experiences, Content, Studio, Live, Ads, Games etc. by providing efficient, reliable, and compliant tooling, platforms, and services for data. In service of this mission, we develop and support data platforms, tools, and services across analytics, data stores, data movement, discovery, data experiences, and infrastructure.

The charter of the Poland Infrastructure Tooling Team is to deliver value by innovating on infrastructure and tooling areas to support strategic initiatives in the Data Platform (DP). This team will complement existing data platform domain-specific infrastructure teams.

This team of 8-10 people (and growing) partners closely with the domain infrastructure teams on a variety of projects such as advancing testing infrastructure, developing reference applications, and implementing testing fakes. The team also works on bringing stateful systems on the Netflix paved path for operational ease, tooling for automated migrations, and establishing correctness and performance parity, 

This is a dream team of highly passionate and intelligent engineers who work well together and collaborate very closely with the domain infrastructure teams in the US. The team works on solving challenging problems that have a huge impact on the Data Platform. 

What you will do:

  • Partner with the domain infrastructure teams to deliver the infrastructure and tooling for strategic products

  • Form trusting cross-functional partnerships across Data Platform to align many engineering teams and ensure their infrastructure and tooling needs are met

  • Build, scale, and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in enabling stable, performant, and efficient services

What we are looking for:

  • An experienced engineering leader who can drive a team of amazing distributed engineers to do their best work while building and maintaining strong partnerships with peers and stakeholders

  • Ability to dive deep as needed to facilitate technical strategy trade-offs and zoom out to understand the big picture to shape the product

  • Experience building and running infrastructure for extremely reliable platform systems supporting high-scale and critical workloads

  • Bring rigor to decision-making and drive down ambiguity with the right mix of collecting data, seeking input, farming for dissent, and making pilot investments to build understanding or confirm direction

  • Proven track record helping a team deliver timely results on critical priorities against many demands for their time, and partnering with leadership to influence the right areas for investment

  • Experience building and leading software engineering teams with a focus on inclusion and diversity, ensuring that we can attract and retain the best talent from anywhere and that all voices are heard to inform our direction

  • Distributed Systems experience and Data Platform domain experience, such as experience in Cassandra, Elastic Search, Spark, Iceberg, Kafka, or Flink, are very desirable. 

A few more things about us:

As a team, we come from many different backgrounds and countries. Our fields of education range from the humanities to engineering to computer science, and we strive to give people the opportunity to wear different hats, should they choose to. We strongly believe this diversity and agility have helped us build an inclusive and empathetic environment, and we are looking forward to adding your perspective to the mix!

Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix

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.

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