Software Engineer
Doist
Location: Poland We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Our team in Poland consists of enthusiasts who are willing to share their knowledge and experience and is an integral part of our company's global presence. We combine local expertise with our broader company vision. The Supply Engineering team is a collaborative hub connecting various technical areas. We sit between different teams to integrate systems, maintain the RTB platform, and develop critical internal services. Additionally, we maximize bidding efficiency across our 120+ external integrations. You Will: Take full ownership of complete internal services and components , ensuring their health, scalability, and observability. Develop and maintain services and tools that empower non-technical teams to easily run complex analyses. Build and optimize backend services and data pipelines (ETL/ELT) that enrich bidding data from diverse sources. Conduct technical and A/B analyses to continuously improve the efficiency of our bidding integrations. Work with a modern tech stack including Python, JavaScript/TypeScript, Google Cloud Platform (GCP), and BigQuery. Desired Experience: Strong software engineering experience (4+ years) and problem-solving skills Experience with cloud environments (ideally GCP) and data analysis tools (SQL, Google BigQuery, Google Colab/notebooks). Ability to quickly adapt and design stable, scalable solutions in ambiguous or highly dynamic technical environments. Strong focus on clean code, reliability, and observability. Selected Technologies: Python Java JavaScript/TypeScript SQL (PostgreSQL, Google BigQuery) Pub/Sub Google Cloud Platform (GCP) Git AI & Agentic Developer Tools We Offer: Extremely flexible collaboration conditions: No core hours and 100% remote model. Technology access: Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project. Equipment: Top-notch hardware and software tailored to your needs. Culture: A collaborative team of enthusiasts eager to share knowledge and support your growth. #J-18808-Ljbffr Doist
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