LG Ad Solutions Off Campus Drive 2026 – Software Engineer I

LG Ad Solutions

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Freshers / Experienced3 days ago

ExperienceFreshers / Experienced

QualificationB.E / B.Tech / B.Sc / M.E / M.Tech / M.Sc

Key Responsibilities

Contribute to the design and development of scalable and performant ad-serving and measurement systems.
Collaborate with team members to design efficient big-data and distributed-system components.
Work on integrations with internal and external systems.
Help expand data and targeting capabilities.
Participate in code reviews.
Follow clean-code, testing, and CI/CD best practices.
Communicate progress, challenges, and feedback to teammates and stakeholders.
Learn and adopt new technologies, frameworks, and methodologies.
Write reliable, well-tested, and maintainable code.
Support the team’s operational-excellence goals.

Skills & Eligibility

Candidates should have a Bachelor’s or Master’s degree or relevant experience in Computer Science, Engineering, or a related field.
The recruitment information also indicates that both freshers and experienced candidates can be considered. The role is designed as an early-career software engineering opportunity, with an emphasis on strong fundamentals and the ability to learn new technologies.
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B.E./B.Tech/B.Sc/M.E/M.Tech/M.Sc or equivalent relevant background.
Computer Science, Engineering, or a related field.
Proficiency in at least one programming language such as Scala, Python, Go, C++, or JavaScript.
Strong understanding of data structures and algorithms.
Strong knowledge of fundamental Computer Science concepts.
Familiarity with databases is expected.
Willingness to learn big data and cloud technologies.
Strong problem-solving and communication skills.
The supplied job description does not mention a specific CGPA, percentage requirement, graduation year, or mandatory experience range.
Candidates should be proficient in at least one general-purpose programming language. LG Ad Solutions specifically mentions Scala, Python, Go, C++, and JavaScript.
For interviews and day-to-day engineering work, candidates should be able to write clean code, understand common data structures, reason about algorithmic complexity, debug problems, and explain their implementation decisions.
A strong understanding of DSA is explicitly required. Candidates should be comfortable with arrays, strings, linked lists, stacks, queues, hash tables, trees, graphs, sorting, searching, recursion, and complexity analysis.
The position requires strong foundational CS knowledge. Relevant areas include object-oriented programming, operating systems, databases, networking, concurrency, software design, and basic distributed-systems concepts.
The role mentions databases and data platforms such as MySQL, Redis, HDFS, and MongoDB. Candidates should understand basic data storage concepts, querying, indexing, caching, data modeling, and when different storage technologies are appropriate.
LG Ad Solutions expects candidates to be eager to learn big data frameworks such as Apache Spark or Databricks. These technologies are relevant to processing and analyzing large datasets generated by advertising systems.
Cloud technologies such as AWS and Kubernetes are mentioned in the role. Candidates do not necessarily need deep expertise in every cloud service, but familiarity with cloud and container concepts can be valuable.
Internship or project experience in distributed systems.
Experience or project work involving big data.
Application development experience.
Exposure to ReactJS or other frontend frameworks.
Experience with data pipelines.
Experience with cloud-native applications.
Basic understanding of Git and collaborative development workflows.
Interest in working in a fast-paced engineering environment.
No CGPA requirement is mentioned in the supplied job description.