Staff Engineer

Overview

Staff Software Engineer role at LG Ad Solutions in Bangalore, India, providing hands-on technical leadership to drive architecture, design, and development of large-scale ad serving, measurement, targeting, and data engineering systems.

What you'll do

• 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.

What you'll need

• 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.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse stakeholders.
• 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.

Nice to have

• 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.

Details

• Location: Bangalore, India.
• Works closely with engineering, product, and operations teams across geographies, collaborating with teams in the US and India.