Technical Support Engineer (L5) - Data Platform, Big Data / Analytics



IT, Customer Service, Data Science
Los Gatos, CA, USA
Posted on Saturday, November 18, 2023
Netflix is the world’s leading streaming entertainment service with 250 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 Engineering Support Organization
The aim of the Engineering Support Organization is to enable Productivity Engineering to effectively and sustainably scale the support they provide to their customers. The team is the frontline resource for the engineering support needs of our customers (i.e., our engineering workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.
Our Mission
Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.
Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity Engineering. Partner with PM and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.
Drive collaboration efforts to reduce product friction and increase usability so that Productivity Engineering can build, deploy and deliver highly functional solutions for the Developer Community.
Our culture is unique, and we tend to live by our values, allowing you to do your best work and grow. To learn more about Productivity Engineering, feel free to listen to this podcast.
The Role
We are looking for a Technical Support Engineer with a passion for productivity infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing runbooks, improving and maintaining support tools, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.
Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.


  • Los Gatos, CA or US Remote only.

What you’ll need to be successful

  • You are skilled in providing superior customer support across a complex organization, ideally as part of a central team
  • You are passionate about customer experience, striving to be an excellent customer advocate
  • You are highly adaptable and comfortable taking on diverse roles and responsibilities from end to end in an investigation
  • You are a data-driven and evidence-based decision-maker
  • You have excellent communication skills and a proven track record of meaningful enhancements toward comprehensive documentation
  • You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains
  • Prior experience supporting platforms built using open-source technologies such as Apache Kafka, Spark, and Hadoop
  • You have worked with big data warehouse storage systems (e.g. Iceberg or Hive)
  • You have experience developing data and/or ETL pipelines using Apache Spark framework or technologies such as Flink and Kafka
  • Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
  • Experience with cloud infrastructure and/or container orchestration platforms is a plus
  • You have the desire and aptitude to learn how the pieces of big data platform work together
  • You thrive in fast-paced environments and seek to improve on operational efficiencies by leaning into automation and visualization tooling
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 $150,000- $370,000.
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.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.