Software Engineer II

Responsibilities:

System Ownership: Build and maintain a comprehensive understanding across multiple complex data pipelines and platform projects owned by the team.

Core Data Engineering: Design, develop, test, and deploy robust backend services and data pipelines processing Terabytes of AdTech and ACR data.

Platform & Governance: Build and maintain internal platform tooling to enforce strict Data Governance, Data Quality, and Data Compliance standards across all data assets.

Task Definition & Scoping: Autonomously define the scope, technical enhancements, and deliverables for features of limited complexity, and provide accurate time estimates.

Feature Set Contribution: Effectively contribute to the planning and development of features affecting multiple components across our data ecosystem with minimal guidance.

Advanced Debugging: Independently troubleshoot, debug, and resolve somewhat complex bugs within distributed environments and massive-scale data processing workflows.

Technical Communication: Comprehend and clearly communicate complex technical concepts—including technical designs, system architecture, and key engineering decisions—to both technical and non-technical stakeholders.

Global Collaboration: Work closely with product managers, data scientists, and engineering counterparts in the US and India (requiring overlap with US time zones, typically aligning with core hours of 8 AM - 11 AM MST).

Requirements:

Bachelor's Degree (B.Tech/B.E.) in Computer Science, Engineering, or a related technical field.

2+ years of relevant professional software development experience, with a strong preference for Backend or Data Engineering roles.

Strong proficiency in Data Structures and Algorithms.

Solid understanding of core Computer Science concepts, specifically Operating Systems, Computer Networks, and DBMS.

Exceptional problem-solving and analytical skills, with a proactive, self-starter attitude.

Clear and effective communication of technical challenges, both verbally and in writing.

Demonstrated ability to collaborate effectively across time zones.

Preferred:

Experience with Big Data processing frameworks, specifically Apache Spark (PySpark or Scala-Spark).

Hands-on experience with modern data platforms like Databricks and orchestration tools like Apache Airflow.

Experience building, maintaining, and scaling complex ETL processes.

Familiarity with cloud computing platforms (AWS, GCP, or Azure) and related infrastructure.

Understanding of distributed systems concepts and proficiency in Low-Level Design (LLD).

Why Join Us?

High Impact: Work on systems critical to the company's revenue stream—our team touches every single dollar this company makes.

Cutting-Edge Exposure: Gain hands-on experience with massive-scale data processing for advanced Ad Tech (DSP, SSP) and state-of-the-art ACR systems.

Modern Tech Stack: Utilize and master highly sought-after technologies within the Big Data and backend ecosystem (Spark, Python, Databricks, AWS, MonteCarlo, Datahub, Cloud platforms).

Strong Ownership Culture: We empower engineers to take initiative, own features end-to-end, and drive results independently.

Growth Opportunity: Join a high-growth company offering significant learning potential, mentorship from experienced engineers, and clear pathways for career progression towards senior roles.

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.