We require people to be on-site, 4 days/week at our Denver office and are unable to offer relocation support.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
We are seeking someone to work on our Automatic Content Recognition (ACR) platform. This platform consists of a client-side SDK embedded in smart TVs, a back-end engine to conduct content matching against a large content reference database, and a series of algorithms. Our platform collects and processes billions of pieces of data per day and is the backbone of our business.
Design, develop, and maintain scalable systems capable of low latency and high throughput using Golang and C++.
Collaborate on systems architecture updates.
Build data pipelines in Kafka.
Help drive best practices in QA, testing, and monitoring.
6+ years of backend engineering experience with an emphasis on low-latency, high-throughput systems that can scale efficiently
Code regularly in Golang and/or C++
Experience building high volume data pipelines with Kafka
Experience with debugging tools (e.g., GDB, Delve)
Experience working in an AWS environment that embraces IaC
Proficient in writing highly performant concurrent code
Writing clear technical documentation
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of 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 federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
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