This role pays more than
96%
of similar roles. Most pay
$155,037–$224,325
— the shaded band above.
At the midpoint, this role pays about
$332k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
28 open roles
on FindRole.
Listed pay typically runs
$440,000–$750,000
across 27 roles with salary data.
Software Engineer 4 - Ads Engineering joins the Ads Engineering team to build a world-class in-house ad tech ecosystem for an ad-supported content tier. This role involves developing advanced technologies for inventory and order management, campaign execution, ad serving, audience identity, measurement, reporting, and finance. The engineer will work on high-performance systems involving client and server-side ad insertions, content delivery, and brand safety. Candidates should possess domain expertise in areas like Ad Serving, Campaign Management, or Media Planning. Required skills include experience developing cloud-based applications using modern object-oriented programming languages, performing A/B testing, and making architectural decisions for engineering projects. The role addresses the technical challenge of monetizing content while ensuring a seamless member experience within the rapidly growing connected TV advertising space, requiring a balance of technical leadership and rapid execution in a startup-like environment.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Develop advanced technologies for ad serving, inventory management, and audience identification.
Build high-performance systems to ensure brand safety and optimal member viewing experiences.
Design and implement automated tools for media planning and campaign execution.
Create scalable infrastructure for programmatic advertising and third-party demand integrations.
Develop machine learning models for real-time inventory forecasting and yield optimization.
Build secure data collaboration tools and "clean rooms" to share data while protecting privacy.
Architect automated systems for financial reporting, billing, and revenue recognition.
Create AI-powered platforms to provide actionable insights for sales and marketing teams.
What we're looking for
Experience in ad serving, identity, audiences, creatives, inventory, forecasting, campaign management, media planning, measurement, reporting, or ads finance.
General understanding of the advertising marketplace and landscape.
Experience working with ad operations to enable campaign setup, targeting, reporting, and advertiser needs.
Proficiency in developing cloud-based applications using modern programming languages, preferably object-oriented.
Familiarity with A/B testing and experimentation.
Proven experience setting technical directions for engineering projects and making architectural decisions.
Ability to influence partner and cross-functional teams.
Knowledge of ad industry standards (e.g., VAST, OpenRTB), legal compliance, or the CTV space is preferred.
LabVIEW
C++
Python
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging
Application Development
software development lifecycle
System Development Life Cycle
Technical Writing
Architecture
Application Testing
Release Management
UX) Design
Packaged Application Integration
Technical Troubleshooting