Security Software Engineer (L5), Detection Engineering
Remote, United States
Full Time Mid-level / Intermediate USD 100K - 720K
- Remote-first
- @WeAreNetflix
- GitHub
- Website
Netflix
Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more.
Netflix is one of the world's leading streaming entertainment services, with over 250 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 TeamThe Detection Engineering Team is responsible for analyzing high-risk attack paths that could substantially impact Netflix and creating focused detections to reduce risk to the business. This is facilitated by partnerships with stakeholder teams, stakeholder domain expertise, and individual contributor creativity.
The RoleWe are looking for an experienced detection engineer to help mature and expand our detection frameworks and portfolio. Our team's focus is to create and continually improve detections that run on our own platforms to minimize Netflix's risk by proactively surfacing malicious or anomalous behavior to identify attacker presence or activity. We are a tight-knit team that provides value by creating compensating detective controls to shorten the time to discovery. Using a risk-based prioritization mindset, we focus our efforts on generating the largest impact and benefits for Netflix.
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 details 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.
The TeamThe Detection Engineering Team is responsible for analyzing high-risk attack paths that could substantially impact Netflix and creating focused detections to reduce risk to the business. This is facilitated by partnerships with stakeholder teams, stakeholder domain expertise, and individual contributor creativity.
The RoleWe are looking for an experienced detection engineer to help mature and expand our detection frameworks and portfolio. Our team's focus is to create and continually improve detections that run on our own platforms to minimize Netflix's risk by proactively surfacing malicious or anomalous behavior to identify attacker presence or activity. We are a tight-knit team that provides value by creating compensating detective controls to shorten the time to discovery. Using a risk-based prioritization mindset, we focus our efforts on generating the largest impact and benefits for Netflix.
Desired background
- You have at least 5 years of experience writing detections at scale using a detection-as-code approach.
- You have significant experience working in an AWS environment, and it's nice to have experience creating and tuning AWS detections.
- You are passionate about using your software engineering skills in pursuit of reducing risk and improving the security space.
- You have experience working in a continuous integration and continuous delivery, cloud-based environment.
- You are adept at working with Python in a big data environment and are skilled at using SQL to query data. Experience with Java and/or Jupyter Notebooks is a plus.
- Experience with ML is a plus, but not required.
- You are familiar with computer and network security concepts.
- You are comfortable working on ambitious projects with a very small, tight-knit team.
- You operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments.
- You have excellent written and verbal communication skills.
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 details 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 stats:
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Category:
Engineering Jobs
Tags: AWS Big Data Engineering Java Jupyter Machine Learning Python Security SQL Streaming
Perks/benefits: 401(k) matching Equity / stock options Flex hours Flex vacation Health care Medical leave
Regions:
Remote/Anywhere
North America
Country:
United States
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