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Software Engineer I

LG Ad Solutions


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (20 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

LG Ad Solutions

LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with todays ever-evolving digital media landscape.

The Opportunity:

Provide an overview of the role and the team it will sit within here at LG Ad Solutions We are seeking a Software Engineer I to join our growing engineering team in Bangalore. This is an excellent opportunity for an early-career engineer who wants to work on large-scale high-performance systems that power LG Ad Solutions global advertising platform. As part of the team you will develop deploy and maintain scalable systems for ad serving targeting and measurement. Youll have the opportunity to work across a modern technology stack from big data and distributed systems to AI-driven measurement models while learning from experienced engineers and contributing to projects that drive significant business impact. This role offers exposure to a collaborative fast-paced environment with clear growth pathways and hands-on learning opportunities.

Responsibilities:

  • Contribute to the design and development of scalable and performant ad serving and measurement systems.

  • Collaborate with team members to design efficient and innovative big data and distributed system components.

  • Work on integrations with internal and external systems to expand data and targeting capabilities.

  • Participate in code reviews and follow best practices around clean code testing and CI/CD workflows.

  • Proactively communicate progress challenges and feedback with your team and stakeholders.

  • Learn and adopt new technologies frameworks and methodologies to continuously improve your skill set.

  • Support the teams goal of operational excellence by writing reliable well-tested and maintainable code.

Requirements:

  • Bachelors or Masters degree or relevant experience in Computer Science

  • Engineering or related field.

  • Proficiency in one or more programming languages such as Scala Python Go

  • C or JavaScript.

  • Strong understanding of data structures and algorithms along with a strong knowledge of fundamental Computer Science concepts.

  • Familiarity with databases (e.g. MySQL Redis HDFS MongoDB etc).

  • Eagerness to learn big data frameworks such as Spark or Databricks and cloud technologies like AWS and Kubernetes.

  • Strong problem-solving skills and curiosity to explore complex systems.

  • Clear communication skills and willingness to ask questions seek feedback and learn from peers.

Preferred:

  • Internship or project experience in distributed systems big data or application development.

  • Exposure to ReactJS or other front-end frameworks.

  • Experience with data pipelines or cloud-native applications.

  • Enthusiasm for working in a fast-paced environment and contributing to team success.

  • Basic understanding of version control (Git) and collaborative development workflows.

LG Ad Solutions provides equal work opportunities to all team members and applicants and it prohibits discrimination and harassment of any type on the basis of race color ethnicity caste religion age sex (including pregnancy) national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by our policies or federal state or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability please send an email to to let us know the nature of your request.


Required Experience:

IC


About Company

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LG Ad Solutions combines cross-device TV and video inventory with actionable linear and streaming TV analytics into a simple, unified platform

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