Media.net operates a sell-side exchange serving publishers and advertisers across open-internet inventory. The tech stack—Python, Java, Node.js, Spark, Kafka, TensorFlow, PyTorch, Kubernetes—reflects a data-intensive, real-time bidding platform handling billions of events daily. Active hiring is concentrated in engineering (16 roles) with balanced mid- and senior-level mix, while projects focus on infrastructure hardening (exchange maintenance, bidding systems, latency optimization) and emerging AI/agentic workflows—suggesting parallel investment in foundational reliability and next-generation capability.
Notable leadership hires: Sales Director
Media.net is a sell-side advertising platform operating in the open-internet adtech ecosystem. The company serves publishers, advertisers, and agencies with programmatic capabilities including header bidding, contextual advertising, and real-time bidding. Core operations involve maintaining and optimizing ad-exchange infrastructure to process high-volume request streams, managing ad quality and fraud detection, and expanding revenue opportunities through partner integrations. Headquartered in Dubai with over 1,000 employees, the company actively hires engineers and product teams across India and the United States.
Media.net uses Python, Java, Node.js, Spark, Hadoop, Kafka, TensorFlow, PyTorch, MongoDB, Redis, Elasticsearch, GCP, and Kubernetes. The mix reflects real-time distributed systems (Kafka, Spark, Flink) and ML capabilities (TensorFlow, PyTorch, XGBoost).
Current projects include real-time bidding infrastructure, ad-exchange performance optimization, fraud detection systems, ad-quality systems, and AI/LLM initiatives. The company also focuses on partner onboarding and handling billions of daily events.
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