About the job
We require employees to be on-site 4 days a week at our Denver office and cannot provide relocation support.
About LG Ad Solutions
As a global leader in connected TV (CTV) and cross-screen advertising, LG Ad Solutions excels in providing cutting-edge advertising solutions that seamlessly integrate with the dynamic digital media landscape.
Your Role:
We are looking for a skilled professional to contribute to our Automatic Content Recognition (ACR) platform. This platform includes a client-side SDK integrated into smart TVs, a robust back-end engine that performs content matching against an extensive content reference database, and a suite of algorithms. Our platform handles billions of data points daily and serves as the foundation of our operations.
Key Responsibilities:
- Design, develop, and maintain high-performance systems with low latency and high throughput using Golang and C++.
- Collaborate on architecture enhancements and system updates.
- Construct efficient data pipelines utilizing Kafka.
- Promote best practices in quality assurance, testing, and monitoring.
Required Qualifications:
- 6+ years of backend engineering experience focused on developing low-latency, high-throughput systems that scale efficiently.
- Proficient in Golang and/or C++ programming.
- Experienced in constructing high-volume data pipelines with Kafka.
- Familiarity with debugging tools (e.g., GDB, Delve).
- Experience working within an AWS environment that supports Infrastructure as Code (IaC).
- Skilled in writing high-performance concurrent code.
- Capable of creating clear and comprehensive technical documentation.
LG Ad Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or applicable laws.
