Software Engineer 5 - Experimentation Platform

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.

The Experimentation Platform team builds the platform and tools that support the entire experimentation lifecycle at Netflix. We work closely with data scientists and product teams to facilitate the end-to-end experimentation process, empowering teams to derive insights from A/B tests that inform impactful product decisions.

We are seeking a Software Engineer with a strong technical foundation in software engineering and a deep understanding of data science concepts, particularly in the context of experimentation analysis. This role is ideal for an engineer who can effectively bridge software engineering with data science needs, developing robust tools that help data scientists analyze and interpret experiment results.

What you will do…

As a Software Engineer (E5) on the Experimentation Platform team, you’ll build and enhance tools and platforms that streamline A/B test analysis, helping data scientists evaluate the statistical significance and potential impact of experiments. You’ll collaborate closely with data scientists to understand their needs, then design and implement features that enable them to assess and productize experiments effectively. Your work will directly influence how we make data-driven decisions at scale, driving innovation and growth.

Key Responsibilities:

• Design and develop software solutions that provide accurate and efficient analysis of A/B test results

• Build and enhance tooling that enables data scientists to perform experiment analysis with a focus on statistical rigor and ease of use

• Translate data science methodologies into scalable engineering solutions, ensuring that tools align with industry standards in experimentation analysis

• Partner with cross-functional teams, including data scientists and product managers, to support the productization of experiment insights

• Maintain a strong focus on scalability, usability, and reliability in platform design to support growing experimentation needs

Required Skills/Experience:

• Proven experience as a software engineer, with a strong focus on building data-driven applications

• Understanding of data science concepts, including basic statistical methodologies, hypothesis testing, and experimentation analysis

• Proficiency in an object-oriented language (e.g., Java, Python) and familiarity with distributed systems

• Experience collaborating with data science teams to build tools that facilitate experiment analysis and decision-making

• A data-centric mindset, with the ability to bridge software development and data analysis needs

• Strong communication …