Golang Software Engineer – Infrastructure & Scraping Systems Team - Corsearch

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make. As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment. Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting. Why Choose Corsearch? Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting. Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike. Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive. Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world. The Role We are seeking a Software Engineer with a strong background in infrastructure and a passion for building robust backend systems. In this role, you will play a pivotal part in managing and evolving our core infrastructure, which is responsible for handling massive, high-load web scraping operations and integrating complex scraping systems. Scale of Data & Ingestion: Because our platform simultaneously powers operations for thousands of large-scale B2B enterprise clients, our infrastructure processes, transforms, and stores millions of data points and permanent web posts every single day. You will directly manage the high-concurrency ingestion pipelines required to scale these massive data ecosystems. You will focus heavily on optimizing performance and cost efficiency, particularly by migrating machine learning and data extraction models from CPUs to high-performance GPU environments using Kubernetes.