About the Team:

As part of the Data Platform team at Media.net, you will contribute to building and scaling data infrastructure that processes billions of events daily. You’ll work on distributed systems, real-time data pipelines, and analytics frameworks that power our contextual advertising platform.

This role offers a great opportunity to work alongside experienced engineers, solve complex problems, and build high-performance systems on a scale.

What is in it for You?

• Design, develop, and operate distributed systems for large-scale data ingestion, processing, and delivery.
• Build and evolve core platform components on Kafka, Flink, and Spark to handle scale and reliability challenges.
• Develop platform services and frameworks in Java, Go, and Python.
• Participate in design discussions, code reviews, and performance tuning sessions.
• Collaborate with cross-functional teams to deliver end-to-end data solutions.
• Continuously learn and apply best practices in distributed systems, scalability, and reliability.

Who Should Apply for this Role?

• 1–3 years of experience in software development, preferably in backend or data-intensive systems.
• Strong programming skills in Java or Go.
• Good understanding of OOP, data structures, algorithms, and design principles.
• Exposure to Big Data frameworks such as Hadoop, Spark, MapReduce, Kafka, HBase, or similar.
• Strong analytical and problem-solving skills.
• Eagerness to learn and work on large-scale distributed systems.
• Strong communication and collaboration skills.