
51 - 200 employés
🤝 B2B
📱 Médias
B2B • Media • Consulting
Le Groupe TARA est une société holding avec un portefeuille diversifié de filiales axées sur les affaires publiques et le plaidoyer. Utilisant des données de pointe, une technologie avancée et une expertise reconnue, ils fournissent des solutions complètes pour aider les clients à exceller dans leurs campagnes et stratégies. L'entreprise est spécialisée dans les analyses basées sur les données, la recherche et le conseil, ainsi que dans la sensibilisation médiatique afin de cibler efficacement les publics et de diffuser des messages percutants. Le Groupe TARA renforce la capacité décisionnelle de ses clients grâce aux solides relations industrielles et aux outils innovants, améliorant ainsi leurs efforts de sensibilisation et de plaidoyer.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
🤝 B2B
📱 Médias
B2B • Media • Consulting
Le Groupe TARA est une société holding avec un portefeuille diversifié de filiales axées sur les affaires publiques et le plaidoyer. Utilisant des données de pointe, une technologie avancée et une expertise reconnue, ils fournissent des solutions complètes pour aider les clients à exceller dans leurs campagnes et stratégies. L'entreprise est spécialisée dans les analyses basées sur les données, la recherche et le conseil, ainsi que dans la sensibilisation médiatique afin de cibler efficacement les publics et de diffuser des messages percutants. Le Groupe TARA renforce la capacité décisionnelle de ses clients grâce aux solides relations industrielles et aux outils innovants, améliorant ainsi leurs efforts de sensibilisation et de plaidoyer.
• Design and architect scalable, high-performance DSP systems for real-time bidding and campaign management. • Optimize bidding algorithms and strategies to maximize campaign performance and ROI. • Lead the development of robust and efficient data pipelines for processing large volumes of advertising data. • Implement and manage fraud detection and brand safety features. • Architect and develop high-throughput, low-latency Go-based backend systems for real-time bidding and data processing. • Design and implement APIs for seamless integration with ad exchanges, data providers, and third-party systems. • Ensure code quality, maintainability, and scalability of backend systems. • Lead the development of intuitive and user-friendly campaign management, reporting, and analytics interfaces. • Design and implement data visualization tools to provide actionable insights into campaign performance. • Ensure a seamless user experience across various platforms and devices. • Led and mentored a team of DSP and software engineers. • Foster a collaborative and innovative work environment. • Provide technical guidance and expertise to team members. • Collaborate with product managers, data scientists, and other stakeholders to define product requirements and drive innovation. • Communicate complex technical concepts effectively to both technical and non-technical audiences. • Work with sales and marketing teams to provide technical support. • Stay current on the latest trends and technologies in the programmatic advertising industry. • Maintain strong relationships with ad exchanges, data providers, and other industry partners.
• 20+ years of software development experience, focusing on high-performance backend systems. • Extensive experience in Go (Golang) backend development, with a proven track record of building scalable and reliable systems. • Strong UI development skills, with experience in modern UI frameworks. • Deep understanding of the programmatic advertising ecosystem, including RTB (Real-Time Bidding), DSPs (Demand-Side Platforms), SSPs (Supply-Side Platforms), and ad exchanges. • Experience with real-time bidding algorithms and strategies. • Experience with cloud platforms such as AWS or Google Cloud. • Problem-solving, analytical, and communication skills. • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • **Preferred Qualifications** • Experience with specific DSP platforms and technologies. • Knowledge of data science and machine learning techniques for ad optimization. • Experience with large-scale data processing and analysis. • Experience with containerization and orchestration technologies like Docker and Kubernetes.
• COMPETITIVE COMPENSATION • 100% REMOTE WORKING OPPORTUNITY • TOP-NOTCH MEDICAL COVERAGE • GENEROUS PAID TIME OFF • PAID PARENTAL LEAVE
Postuler Maintenant🕒 il y a 1 mois
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