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# Senior Software Engineer (AdTech - AWS experience required)

- **Company:** Discovery Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $131,600.0 - $244,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), NoSQL, Standard Sql, Software Engineering, Data Streaming, Cloud Platform System, Apache Spark, Yield Optimization, Information Technology, Adserver, Apache Kafka, Data Management, Stream Processing, Legacy Systems
- **Published:** August 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27920994/Senior-Software-Engineer-Adtech-Aws-Experience-Required-New-York-New-York-7384

## About the Role

* Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.

 * Engineering Expertise: 5+ years in software engineering, with exposure to AdTech or large-scale distributed systems.

 * Hands-On technical experience: Hands-on expertise with Java, Scala, or Python. Experience with cloud platforms (AWS/GCP/Azure). Strong knowledge of SQL and NoSQL databases. Familiarity with big data tools (Spark, Kafka) and streaming architectures.

 * AdTech Domain Knowledge: Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.

 * Collaboration & Mentorship: Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

## Description

Build and maintain services for ad-serving, campaign management, and identity systems. Develop APIs and integrations with third-party AdTech partners and data providers.

Data Engineering
Design and implement ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization. Work with big data frameworks (Spark, Kafka) to handle large-scale datasets.

Platform Modernization
Contribute to migration of legacy systems to modular, cloud-native architectures. Implement observability, security, and compliance best practices.

Collaboration & Technical Guidance
Partner with product and operations teams to align technical solutions with business goals. Share best practices and mentor junior engineers when needed.


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