Senior Software Engineer L5 (Data) - Automation Platform

Netflix is one of the world’s leading entertainment services with 278 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.

The Role

The Test Automation Platform team’s systems execute and ingest results for over 3 million test executions daily. We provide the core infrastructure and capabilities to enable automated testing of the Netflix product at scale. Our Device & Test Automation platform enables other teams to qualify and validate the Netflix TV, mobile, and web client applications, partner device implementations, mobile games, and more. We view ourselves as a force multiplier for Netflix engineering, providing composable capabilities and pluggable abstractions that allow teams to manage, orchestrate, and analyze their automated tests and test devices. 

What you will do:

• Evolve our data architecture/strategy to democratize our data and enable analytics and insights.

• Build, own, and maintain data pipelines, data stores, and API services to ensure the reliability, consistency, and scalability of our systems.

• Drive data architecture projects with stakeholder teams to improve the efficiency of the use of our data platform and maximize the value users get from our systems.

• Collaborate with stakeholder teams to build analytics and insights based on the test results and other pieces of data generated by our automation platform.

This role is right for you if:

• You have a passion for exploring and building technical datasets   

• Strive to write elegant code, and you're comfortable with picking up new technologies independently

• You are proficient in at least one major programming language (e.g. Javascript, Python) and comfortable working with SQL

• You are proficient with MongoDB or other NoSQL solutions

• You have a strong background in software engineering of data systems and services

• You are familiar with data pipeline technologies like Spark or Flink

• You have an eye for detail, good data intuition, and a passion for data quality

• You appreciate the importance of great documentation and data debugging skills

• You relate to and embody many of the aspects of the Netflix Culture. You love working independently while also collaborating and giving/receiving candid feedback

• You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

• You excel in collaborative settings and use your strong communication skills to influence outcomes.

Why Netflix and this team:

• Netflix's unique culture is not just a memo but something we practice daily. A description of our culture and way of working may be found at https://jobs.netflix.com/life-at-netflix.

• You will work with an amazing and passionate team of high-performing colleagues invested in your success.

• Your work will be a force multiplier for hundreds of engineers across Netflix and impacts the Netflix user experience which is used by tens of millions of people every day. When your friends and family ask you what you do for a living, you can point to Netflix running on their TV and say with pride, “I make that possible.”

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.

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.