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

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.

Location

• 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

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 based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of Netflix is typically $150,000 - $400,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.