About
### About the Role LG Ad Solutions is seeking a **Software Engineer I** to join our fast-growing team in Bangalore. As part of a global leader in connected-TV and digital advertising technology, you will dive into back-end development at scale. This entry-level position is perfect for fresh graduates looking to gain hands-on experience in a data-driven engineering culture. In this role, you will help build our core ad-serving services, develop data ingestion pipelines, and ensure the reliability of a platform that delivers billions of ad impressions daily. You will have the opportunity to work with cutting-edge technologies such as Apache Spark, Kubernetes, and AWS, all while receiving mentorship from seasoned engineers. ### Key Responsibilities - Design, develop, and optimize high-throughput backend services for ad serving and measurement. - Build and maintain data pipelines using Spark, Databricks, and HDFS. - Implement APIs and integrations with internal and third-party systems. - Write clean, testable code in Python, Scala, Go, or C++ and participate in code reviews. - Contribute to CI/CD pipelines, automated testing, and monitoring frameworks. - Diagnose and resolve performance bottlenecks and reliability issues in production. - Collaborate with product managers and data scientists to translate business requirements into technical solutions. - Stay updated with emerging cloud and big-data technologies and propose improvements. - Document system designs, APIs, and operational runbooks. - Participate in on-call rotations to ensure 24/7 service availability. ### Requirements - Proficiency in one or more programming languages: Python, Scala, Go, C++, or JavaScript. - Familiarity with databases and data structures: MySQL, Redis, MongoDB, HDFS. - Knowledge of data processing frameworks such as Apache Spark and Databricks. - Experience with cloud technologies, especially AWS (EC2, S3, Lambda). - Understanding of container orchestration tools like Kubernetes and Docker. - Basic knowledge of Git and CI/CD practices. ### Benefits - Work on high-scale advertising systems impacting millions of users. - Gain expertise in big-data and cloud platforms. - Thrive in a learning-oriented culture that encourages ownership and innovation. - Competitive compensation and continuous learning budgets. - Clear career advancement opportunities with paths in ad-tech, data engineering, or cloud infrastructure.
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