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LG Ad Solutions

Cross-screen TV reach and measurement platform

Staff Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 10+ years of professional software engineering experience building and operating large-scale, production-grade software systems.
  • Demonstrated experience leading the architecture and delivery of complex, distributed systems with significant scale, throughput, reliability, or data processing requirements.
  • Strong proficiency in one or more programming languages, such as Go, Scala, Python, Java, or C++, along with a deep understanding of computer science fundamentals.
  • Extensive experience with distributed systems, concurrency, data structures, algorithms, system design, and performance optimization.
  • Hands-on experience with big data technologies such as Apache Spark and Databricks, and data storage and caching technologies such as MySQL, Redis, or ElastiCache.
  • Experience designing, deploying, and operating cloud-native systems using AWS, Kubernetes, and related infrastructure technologies.
  • Ability to navigate, understand, and refactor large, complex codebases while maintaining high standards of reliability and maintainability.
  • Strong understanding of system observability, production troubleshooting, fault tolerance, capacity planning, and cost optimization.
  • Proven ability to make sound architectural trade-offs, evaluate alternative approaches, and influence technical decisions across multiple teams.
  • Demonstrated ability to mentor engineers, guide technical discussions, and raise engineering standards across teams.
  • Experience collaborating with globally distributed engineering teams and driving projects across geographical boundaries.

Responsibilities

  • Define and drive the architecture of large-scale, distributed software systems, making critical technical decisions around scalability, reliability, performance, and maintainability.
  • Design and evolve high-throughput ad serving, targeting, measurement, and data processing systems capable of handling large data volumes and demanding latency requirements.
  • Lead complex, cross-team engineering initiatives from problem definition and requirements gathering through architecture, implementation, deployment, monitoring, and continuous improvement.
  • Drive the design and optimization of big data applications and distributed computing platforms, improving processing efficiency, resource utilization, and infrastructure cost.
  • Partner with engineering leadership and product teams to define technical strategy, identify architectural gaps, establish long-term roadmaps, and align engineering investments with business priorities.
  • Establish and champion best practices for software design, code quality, testing, observability, operational readiness, and production reliability.
  • Collaborate across engineering teams and organizational boundaries to resolve complex technical challenges, align architectural decisions, and drive consistent engineering standards.
  • Mentor senior and junior engineers, guide design and code reviews, and help develop technical leadership within the organization.
  • Identify and resolve system bottlenecks, improve service-level objectives, and lead initiatives that enhance throughput, latency, fault tolerance, and overall system resilience.
  • Lead the design and implementation of integrations with internal and external platforms to expand advertising targeting, measurement, and data capabilities.
  • Work closely with engineering teams in the US and India to drive successful project execution, share technical knowledge, and ensure alignment across distributed teams.

Desired Qualifications

  • Experience building and scaling ad tech platforms, including ad serving, audience targeting, advertising measurement, or real-time bidding systems.
  • Proven track record of leading multi-team technical initiatives and delivering significant business and engineering outcomes.
  • Experience designing high-throughput, low-latency services and large-scale data processing pipelines.
  • Experience with cloud cost optimization, distributed resource management, and large-scale infrastructure efficiency.
  • Experience defining architecture standards, technical roadmaps, and engineering practices across teams.
  • Demonstrated ability to influence without direct authority and drive alignment across engineering, product, and operations.
  • Experience mentoring senior engineers and developing technical leaders.
  • Experience working in a global engineering organization with teams across India and the US.

About the Company

LG Ad Solutions

Cross-screen TV reach and measurement platform

LG Ad Solutions helps brands reach audiences across a fragmented TV landscape by combining premium LG smart TV ad inventory with data-driven insights and Video AI. Its platform provides a single place for planning, activating, and measuring campaigns across connected TVs and digital video, using deterministic data from LG and other brands to target both broad and specific audiences. Advertisers can optimize media buys in flight with cross-screen signals and actionable insights that reveal TV-driven results. The goal is to maximize return on ad spend by delivering precise targeting, efficient media buys, and clear measurement across all viewing platforms.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
California, United States
Founded
2013

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