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Samsung Ads · 10 hours ago

Lead Platform Engineer, GoLang – Samsung Ads

Mountain View, CA

Full-time

Onsite

Lead/Staff

$190K/yr - $215K/yr

8+ years exp

Samsung Ads is a fast-growing advertising technology business that connects brands with audiences across Samsung Smart TVs. The Lead Platform Engineer will drive the design and delivery of large-scale DSP and Reporting systems, leading a team of engineers and collaborating with Product, Data, and Machine Learning teams to create scalable, data-intensive products.

Marketing & Advertising

Hiring Manager

Kavyashree G.

Responsibilities

Technical Leadership: Lead a team of engineers to design, implement, and deploy production-grade DSP and reporting systems with measurable business impact

Architecture & Design: Define scalable, high-performance architectures for data pipelines, reporting APIs, and platform services

Cross-Functional & Cross-Site Collaboration: Partner with Product, Data, and ML teams across multiple global engineering sites (e.g., MTV, SRIB, SRPOL, HQ) to translate business goals into technical roadmaps, ensure architectural alignment, and deliver high-quality solutions

Data Engineering: Work with data engineering teams to develop and optimize large-scale data ingestion, transformation, and analytics pipelines

Product Reliability: Ensure platform reliability and operational excellence through automation, monitoring, and proactive system health checks

Mentorship: Provide technical mentorship and foster a culture of code quality, performance, and innovation

Rapid Prototyping: Develop quick prototypes and proofs of concept to validate new ideas and accelerate innovation

External Collaboration: Engage with technology partners and vendors to integrate advanced data and reporting tools into the Samsung Ads ecosystem

Qualification

GolangBig data technologiesData modelingCloud platformsWorkflow orchestrationStreaming data systemsPythonJavaStatistical methodsTechnical leadershipCollaboration

Required

Master's or PHD degree in Computer Science, Electrical Engineering, or a related field preferred, or equivalent practical experience with a proven record of building and leading large-scale distributed systems (8+ years)

Proficiency in Golang required; Python and Java preferred; Scala nice to have

Strong experience with big data technologies such as Snowflake, Hadoop, Spark, MapReduce, and SQL

Hands-on experience with workflow orchestration tools (e.g., Airflow)

Strong understanding of data modeling, distributed systems, and software engineering best practices

Working knowledge of statistical methods and data-driven performance analysis

Excellent communication, collaboration, and technical leadership skills with a track record of cross-functional and cross-site influence