Software Engineer

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RTB House

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🤖 Artificial Intelligence

📣 Marketing

💰 Private Equity Round on 2019-01

Advertising • Artificial Intelligence • Marketing

RTB House is a global leader specializing in deep learning-powered online ad campaigns. The company provides personalized retargeting and brand visibility services using advanced AI technology to engage new and existing customers across multiple markets. RTB House's dynamic ad formats and deep learning capabilities allow businesses to set ambitious sales targets and drive brand loyalty. Additionally, the company offers solutions to manage the evolving digital ecosystem post-cookies while ensuring brand safety and innovation through collaborative client feedback. With a presence in over 90 markets and partnerships with 700K+ publishers, RTB House delivers measurable results for both direct clients and agencies, helping them achieve competitive advantages in the digital advertising space.

📋 Description

• Design, develop, and maintain robust, high-performance supply-side integrations (SSPs) using Python. • Optimize existing backend services to handle massive scale with minimal latency. • Analyze bid traffic patterns, monitor integration health, and troubleshoot real-time SSP communication issues. • Collaborate with cross-functional teams (Technical Account Managers, Product, and other Engineering teams) to onboard new supply partners. • Contribute to team development standards, testing automation, and CI/CD pipeline improvements.

🎯 Requirements

• 3+ years of experience in software development, primarily using Python. • Fluency in English (both written and verbal, B2 level or higher) is a must, as we work in an international environment. • Strong understanding of web protocols (HTTP, REST, JSON) and concurrency models in Python (such as asyncio). • Hands-on experience with database systems (SQL/PostgreSQL, Redis) and Docker.

🏖️ Benefits

• Technology access: Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project. • Equipment: Hardware and software you need. • Culture: Collaborate with a team of enthusiasts who are willing to share their knowledge and experience.