热门公司

招聘

职位Netflix

Software Engineer - Customer Service Platform

Netflix

Software Engineer - Customer Service Platform

Netflix

USA - Remote

·

Remote

·

Full-time

·

2mo ago

必备技能

Java

JavaScript

TypeScript

React

GraphQL

Customer Service

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 JavaScriptExperience 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 RESTSolid 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 excellenceA 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.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

员工数

Los Gatos

总部位置

$280B

企业估值

评价

3.8

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

4.0

管理层

3.2

68%

推荐给朋友

优点

Great benefits and perks

Supportive team and culture

Competitive salary and compensation

缺点

Fast-paced and high pressure environment

Work-life balance issues

High workload and long hours

薪资范围

1,875个数据点

Mid/L4

Mid/L4 · Analytics Engineer

7份报告

$274,996

年薪总额

基本工资

$211,536

股票

-

奖金

-

$274,996

$358,605

面试经验

4次面试

难度

4.0

/ 5

录用率

25%

体验

正面 25%

中性 25%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Team Matching

7

Final Round

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit