招聘

Software Engineer L5, Ads Eventing
Los Gatos,California,United States of America
·
On-site
·
Full-time
·
6mo ago
薪酬
$388,000 - $558,000
福利待遇
•Healthcare
•Mental Health
•401(k)
•Equity
•Flexible Hours
•Parental Leave
必备技能
Real-time systems
Distributed systems
Data processing
API design
Programmatic advertising
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.
We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team
The Ads Platform Engineering creates the ecosystem that spans across the “Pitch to Pay” process. It goes all the way from enabling our sales teams (and other DSPs, resellers) to engage advertisers to run their campaigns on Netflix, and cuts across inventory and order management, campaign execution, ad serving, audience onboarding, targeting and delivery, measurement, reporting and finance.
Our team is new, yet we have enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.
The Ads Reporting Infrastructure team builds and operates the foundational systems that collect, enrich, and deliver ads-related events at scale. These systems ensure that raw signals from client devices, servers, and third-party integrations are transformed into clean, reliable, and privacy-safe data streams powering measurement, serving, reporting, and financial workflows.
We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.
Skills & experience we’re seeking:
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Experience with real-time systems a must
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Extensive experience in building large-scale, low-latency distributed systems and real-time data processing
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Experience building low-latency, highly available pipelines to ingest billions of ad events daily from client and server endpoints.
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Experience building monitoring, alerting, and auditing systems to guarantee end-to-end data accuracy, timeliness, and completeness.
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Hands-on expertise building and integrating with ad technologies such as SSPs, DSPs, or Ad Servers. In-depth understanding of programmatic advertising.
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Expertise in building and integrating APIs and services with data technologies such as Apache Druid for real-time analytics and data processing
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Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
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Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented)
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Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
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Excellent communication, negotiation, and relationship-building skills.
Nice to haves:
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Familiarity with legal compliance and changing landscape of ads regulations around the world.
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Experience working in the CTV space and knowledge of it’s unique constraints
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.
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.
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关于Netflix

Netflix
PublicAn 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
新闻动态
Netflix work life balance?
Mixed reports: some describe it as 'demanding but respectful', others call it a 'meat grinder'. WLB varies significantly by team and manager. Rating: 3.6/5 on Glassdoor.
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