Security Analytics Engineer (L4)
Netflix - USA - Remote
Posted Apr 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Security Analytics Engineer (L4) USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The team you will join: Our team uses data for the consumer product security in two ways: 1) provide insights into effectiveness of security measures across products, and 2) build intelligence to address fraud in scale. Examples of fraud we deal with include account compromise, piracy, and DDoS. We achieve our goals through both technical work on the team and cross-functional partnerships. We are looking for an analytics engineer to join our team to drive security metrics as well as data solutions for detection and prevention across the fraud landscape. If you've used Netflix, you've been protected by systems that our team built. We collaborate closely with Product, engineering, Data teams, as we believe security is a team sport. This blog post is a great way to learn about our work. What you will work on: As a Security Analytics Engineer, you will drive insights and discovery of fraud in our ecosystem by understanding our infrastructure, and product, identifying high risk areas, and driving changes to our anomaly detection and product experiences. You will leverage your security and fraud prevention expertise to analyze patterns,
Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.
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