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Software Engineer (L5) - Experimentation Platform

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
170 - 720K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

Proven experience as a software engineer, Understanding of data science concepts, Proficiency in an object-oriented language (Java, Python), Experience collaborating with data science teams, BS/MS in Computer Science, Data Science or related field preferred.

Key responsabilities:

  • Design and develop software for A/B test results analysis
  • Build tooling to enable effective experiment analysis
  • Translate data science methodologies into engineering solutions
  • Partner with cross-functional teams for product insights
  • Focus on scalability, usability, and reliability in platform design
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Netflix XLarge https://jobs.netflix.com/
10001 Employees
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Job description

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 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 skills, with the ability to engage effectively with technical and non-technical stakeholders

Nice To Have Skills & Experience:

  • BS/MS in Computer Science, Data Science, or a related field

  • Familiarity with data frameworks and analysis tools like Hadoop, Spark, or SQL-based systems

  • Experience building experimentation platforms or analysis tools at scale

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 is $170,000 - $720,000.


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.

Job is open for no less than 7 days and will be removed when the position is filled.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Reliability
  • Verbal Communication Skills

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