Software Engineer I

LG's interview process typically starts with a timed online coding test focusing on arrays, strings, and graph problems. Successful candidates move to a technical interview where they discuss system design, big‑data pipelines, and write code on a whiteboard or shared editor. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include practicing medium‑level DSA problems and reviewing distributed system fundamentals.

LG fosters an inclusive, innovation‑driven culture where engineers are encouraged to experiment and learn. The company provides structured career ladders, regular tech talks, and a balanced work‑life environment, allowing employees to grow both professionally and personally.

B.Tech/B.E/M.Tech/M.Sc in Computer Science, Information Technology, Electronics & Communication or related streams. Minimum 60% aggregate (or CGPA 6.0/10). Final year students or recent graduates (2023‑2025 batches) eligible. No active backlogs at the time of joining. Candidates with relevant internships or project experience in distributed systems or big‑data are preferred.

Round 1: Online Coding Assessment (DSA & language specific problems) → Round 2: Technical Interview (system design, big‑data concepts, coding) → Round 3: HR Interview (fit, motivations, culture)

LG, a global technology powerhouse, has a long legacy of innovation in consumer electronics, home appliances, and digital solutions. In India, LG operates a vibrant ecosystem that blends cutting‑edge hardware with software services, delivering products that touch millions of households. LG Ad Solutions, a fast‑growing subsidiary, focuses on Connected TV (CTV) and cross‑screen advertising, helping brands reach audiences through intelligent, data‑driven campaigns. The team works with global advertisers, media agencies, and publishers to build a seamless ad‑delivery platform that scales across devices and markets. The role of Software Engineer I sits within the core engineering group of LG Ad Solutions in Bangalore. As an early‑career engineer, you will be part of a high‑performance team that designs, builds, and maintains the backend services powering ad serving, targeting, and measurement. You will get hands‑on exposure to large‑scale distributed systems, big‑data pipelines, and AI‑enabled analytics, while collaborating with senior engineers, product managers, and data scientists. The position offers a clear growth trajectory – from mastering the codebase to taking ownership of critical services, eventually moving into senior or lead engineering roles. **Key Responsibilities** 1. Design and develop scalable ad‑serving and measurement services that handle billions of requests daily. 2. Build and optimise big‑data pipelines using Spark, Databricks, or similar frameworks. 3. Implement integrations with internal APIs and external data providers to enrich targeting capabilities. 4. Write clean, testable code and contribute to CI/CD pipelines using Git, Jenkins, or GitHub Actions. 5. Participate in code reviews, ensuring adherence to best practices and coding standards. 6. Collaborate with cross‑functional teams to define system requirements and performance benchmarks. 7. Troubleshoot production issues, perform root‑cause analysis, and implement reliable fixes. 8. Stay updated with emerging technologies such as Kubernetes, AWS services, and AI/ML models, applying them where appropriate. 9. Document system architecture, APIs, and operational procedures for knowledge sharing. 10. Mentor interns or junior peers, fostering a culture of continuous learning. **Tech Stack**: Scala, Python, Go, JavaScript, Spark/Databricks, AWS (EC2, S3, Lambda), Kubernetes, MySQL, Redis, MongoDB, Git, Docker. **Growth Path**: After gaining proficiency, you can progress to Software Engineer II, Senior Engineer, Tech Lead, and eventually Engineering Manager or Architect, with opportunities to work on product strategy and cross‑functional leadership. **Why Join LG**: LG offers a globally recognised brand, a collaborative engineering culture, and exposure to cutting‑edge advertising technology. Freshers benefit from mentorship, structured learning programs, and the chance to impact real‑world ad platforms used by Fortune‑500 brands. The company also promotes work‑life balance, diversity, and continuous upskilling, making it an ideal launchpad for a thriving software career.