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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.
About the Team
The Customer Service Platform team empowers Netflix Customer Service to help out customers 24x7. We do this by creating a maintainable, scalable, and resilient technology ecosystem that blends in-house and vendor solutions.
Our areas of responsibility include powering our help center through Content Management System (CMS), building a support agent-facing member management system (CRM), and maintaining other metadata management & operations tools. We focus on operational efficiency, on both agent and customer experience, and enabling rapid innovation in how Netflix does Customer Service, especially in the world of Generative AI.
We are transforming our technology ecosystem from one composed of mostly legacy home-grown applications to a modern hybrid architecture that strategically integrates vendor solutions while preserving Netflix-specific values. This platform powers support experiences across Streaming, Games, and Netflix House, complemented by significant investment in GenAI initiatives that will define the future of customer service.
About the job
We are looking for a seasoned engineer who is either a jack of all trades between frontend and backend, or have some speciality to bring to the table, e.g. experience building GenAI applications, prior experience in support domain, or experience working on hybrid ecosystems.
You will be the informed captain, responsible for ideating, building, testing, and deploying robust features that meet both technical and business objectives. While being independent, it may require close collaboration with many Netflix engineering sister teams, product stakeholders and external vendors, to deliver the comprehensive end-to-end solutions.
You should have the platform mindset, as the system is built with layers of abstractions and orchestrations to handle massive end-user traffic and integrate with different vendor solutions at scale and flexibility. We are not only building for today, but also for tomorrow & beyond.
Qualifications:
Experience with TypeScript or JavaScript
Experience with modern UI framework such as React
Solid experience in object oriented programming in Java, C++ etc incl. Javascript class
Solid experience with API technologies such as GraphQL, gRPC, and REST
Solid knowledge of data structures, DB schema design and modern design patterns
Extensive experience integrating internal and/or third-party services
Experience with cloud computing platforms like Amazon Web Services
Nice to have
Experience in customer support / account management domain
Experience with Generative AI / ML at application level
Experience working with SLOs, SREs, and contemporary observability platforms.
Experience developing build tooling or delivery automation
Experience with distributed systems / cloud deployment / AWS multi region
An advocate for reliability and operational excellence
A good grasp of UX fundamentals
Generally, 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 $388,000.00 - $558,000.00. This compensation range will vary based on location.
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.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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