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LG Ad Solutions Off Campus Drive – Software Engineer I at jobs.ashbyhq.com — 2026

Company
Company LG Ad
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA
Location
Location Bangalore, India
Posted Date
Posted Date Today
Python Scala Go C++ JavaScript Data Structures Algorithms SQL NoSQL MySQL Redis MongoDB HDFS Apache Spark Databricks AWS Kubernetes Docker Git CI/CD
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Aptitude Practice Questions Open Resource ↗
Helps you prepare for the online aptitude test commonly used by LG Ad Solutions during the first screening round.
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Coding Interview Preparation Guide Open Resource ↗
Covers common data‑structure and algorithm problems that are frequently asked in technical interviews at LG Ad Solutions.
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Comprehensive Interview Resources Open Resource ↗
Provides curated interview experiences, sample questions, and tips specific to tech roles like Software Engineer I.
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LeetCode Problem Set Open Resource ↗
Offers a large collection of coding problems to sharpen problem‑solving skills required for the technical round.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, Electronics or related engineering discipline; minimum CGPA/percentage 6.5/70%; graduating batch 2025‑2027; no active backlogs; strong fundamentals in data structures, algorithms, and programming.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Coding Interview (Data structures & algorithms, system design basics)
3
Round 3: HR Interview (fit & motivation)
LG Ad Solutions is a fast‑growing arm of the global LG conglomerate that focuses on connected‑TV and digital advertising technology. With a presence in more than 30 countries, the company builds end‑to‑end ad platforms that power real‑time bidding, audience targeting, measurement, and analytics for premium publishers and advertisers. The engineering culture is heavily data‑driven, encouraging engineers to experiment with large‑scale distributed systems, cloud‑native services, and modern big‑data pipelines. Employees benefit from a collaborative environment where cross‑functional teams work closely with product, data science, and sales to deliver high‑impact advertising solutions. The Software Engineer I role is an entry‑level position designed for fresh graduates who are eager to dive into backend development at scale. As a member of the Bangalore engineering team, you will contribute to core ad‑serving services, build data ingestion pipelines, and help maintain the reliability of the platform that serves billions of ad impressions daily. The role offers hands‑on exposure to cutting‑edge technologies such as Apache Spark, Kubernetes, and AWS, while also providing mentorship from senior engineers experienced in ad‑tech and big‑data architectures. Key Responsibilities: 1. Design, develop, and optimise high‑throughput backend services for ad serving and measurement. 2. Build and maintain data pipelines using Spark, Databricks, and HDFS. 3. Implement APIs and integrations with internal and third‑party systems. 4. Write clean, testable code in Python, Scala, Go, or C++ and participate in code reviews. 5. Contribute to CI/CD pipelines, automated testing, and monitoring frameworks. 6. Diagnose and resolve performance bottlenecks and reliability issues in production. 7. Collaborate with product managers and data scientists to translate business requirements into technical solutions. 8. Stay updated with emerging cloud and big‑data technologies and propose improvements. 9. Document system designs, APIs, and operational runbooks. 10. Participate in on‑call rotations to ensure 24/7 service availability. Tech Stack: Python, Scala, Go, C++, JavaScript, MySQL, Redis, MongoDB, HDFS, Apache Spark, Databricks, AWS (EC2, S3, Lambda), Kubernetes, Docker, Git, Jenkins. Growth Path: Freshers start as Software Engineer I, progress to Engineer II after 1‑2 years, then to Senior Engineer, Tech Lead, and eventually Architect or Product Manager roles, with opportunities to move across ad‑tech, data‑engineering, or cloud‑infrastructure tracks. Why Join LG Ad Solutions? You will work on real‑world, high‑scale advertising systems that impact millions of users, gain expertise in big‑data and cloud platforms, and grow in a culture that values learning, ownership, and innovation. The company offers competitive compensation, continuous learning budgets, and a clear career ladder for ambitious engineers.

LG Ad — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
LG Ad Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for LG Ad and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Scala, Go, C++, JavaScript, Data Structures, Algorithms, SQL, NoSQL, MySQL, Redis, MongoDB, HDFS, Apache Spark, Databricks, AWS, Kubernetes, Docker, Git, CI/CD) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
LG Ad Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join LG Ad as a LG Ad Solutions Off Campus Drive – Software Engineer I at jobs.ashbyhq.com — 2026?
Preparation Tip: Highlight LG Ad's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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LG Ad Solutions Off Campus Drive – Software Engineer I at jobs.ashbyhq.com — 2026
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