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Location
In office (Gurgaon)
Seniority
Middle · 4+ years exp

First seen by Alion on Nov 8, 2026.

Overview
Company
Impact
Profile match
Media.net is an advertising technology company best known for running the Yahoo and Bing contextual advertising programme for publishers. It provides contextual ad serving, search ad monetization and programmatic advertising products to publishers and advertisers, with large engineering teams in Mumbai and Bengaluru. Founded in 2010 by Divyank Turakhia and acquired in 2016 by a Chinese consortium for 900 million dollars, the company is headquartered in Dubai, United Arab Emirates.

About Ad Exchange team:


Media.net serves billions of digital ad impressions globally on a daily basis and we are committed to providing a top-notch experience to our customers for all kinds of digital ads like banner ads, search ads, different kinds of video ads, native ads, audio ads, etc.


Ad Exchange team is responsible for developing a highly scalable, low latency distributed real-time digital ads marketplace that handles hundreds of billions of transactions daily. This product is present across the globe with major data centres across US, Europe, and APAC.


The team is responsible for making sure that the product is designed in the most efficient fashion in terms of infrastructure and latency. We handle multi-hundred million dollars of floating revenue annually and this business is growing at a very fast pace year on year.


An ideal team member would be the one who is fascinated with the scale, wants to work on complex problems, build large-scale distributed systems, wants to make the system more optimized and intelligent, and can own the complete product or parts of the product.


Why you should join us:

  • If you want to join the mission of making a world of better looking ads.
  • If you want to take ownership of large scale systems.
  • If you want to work with a huge amount of data and make billions of decisions daily with sub-millisecond latency.
  • If you want to work on global products spanned across the globe. You would have the opportunity to work on both multi-cloud and co-location environments.
  • If you want to handle large-scale infra. At peak time we run around 5000+ servers only for our ad serving infrastructure.
  • If you want to build systems, which can execute tens of millions of rules in sub-millisecond time dimension.
  • If you want to take ownership of the systems at any level of experience.
  • If you want to work on complex systems, which are capable of intelligently processing and making relevant decisions, huge amounts of data every day.
  • If you want to work on a system which has an immediate impact on an organization's top line revenue.
  • Apart from working on complex algorithms and distributed systems, the team uses technologies like Aerospike, Redis, MySQL, Kubernetes, Docker, Kafka, ClickHouse, Flink.


Who should join us:

  • 4-6 years of software development experience.
  • Good grasp of programming fundamentals including OOP, design patterns, and data structures.
  • Can write bug-free, production-quality code in any low-level programming language, preferably Java.
  • Good exposure to machine learning concepts and understanding of how ML models can be integrated into large-scale, low-latency production systems.
  • Familiarity and prior experience in optimisation problems, revenue optimisation, cost optimisation, etc. would be a plus point.
  • Familiarity with ML-based systems, data-driven decision-making, or AI-driven optimization is an added advantage.
  • Familiarity with ML frameworks and libraries such as Scikit-learn, TensorFlow, or PyTorch would be an added advantage.
  • Excellent analytical, mathematical, logical, and problem-solving skills.
  • Good knowledge of relational and NoSQL databases to handle large amounts of real-time data.
  • Understanding of big data concepts and experience working with large-scale data processing pipelines, along with hands-on experience with frameworks such as MapReduce, Apache Spark, and Apache Flink, would be a plus.
  • Having a good understanding of data stream workflows Kafka, Flink.
  • Have excellent low-level design skills.
  • Knowledge of high volume, low latency, multi-threaded, large-scale distributed systems.
  • Ability to understand business requirements and take ownership of the product.

Skills

Apache Flink, Apache Kafka, Distributed Systems, Flink, Java, Kafka

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