**
Warner Bros. Discovery is seeking a Staff Engineer to design and deliver scalable, cloud-native solutions for its advertising technology stack. The ideal candidate will have over eight years of software engineering experience, particularly in AdTech and cloud platforms, to modernize legacy systems and mentor junior engineers.
**
Job Summary
This role is accountable for designing and delivering scalable, cloud-native solutions that power the advertising technology stack supporting billions of ad impressions monthly.
The position involves transforming legacy broadcast and scheduling workflows into automated, cloud-native systems to enable efficiency across sales and operations.
Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and a supportive culture where employees are celebrated and can thrive.
Matching Summary
Match Score: 75
**
Warner Bros. Discovery is seeking a Staff Engineer to design and deliver scalable, cloud-native solutions for its advertising technology stack. The ideal candidate will have over eight years of software engineering experience, particularly in AdTech and cloud platforms, to modernize legacy systems and mentor junior engineers.
**
Salary
Base: $146,440.00 - $271,960.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives available; Benefits: Health insurance, wellness program, life/disability insurance, retirement plan, paid time off
Skills & Requirements
Must-have
8+ years software engineering experience
Java Scala or Python expertise
Cloud-native microservices architecture
AdTech domain knowledge
AWS GCP Azure cloud platforms
Spark Kafka big data frameworks
AI-driven automation system design
Nice-to-have
Linear broadcasting workflow experience
Mentoring junior engineers
API-first design principles
Real-time data processing skills
Collaboration with product teams
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
8+ years of software engineering experience
Hands-on expertise with Java, Scala, or Python
Strong knowledge of SQL and NoSQL databases
Experience with linear advertising and scheduling platforms