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Staff Engineer, Platform Architect – Ad Solutions

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Samsung Ads
Full Time position
Listed on 2026-02-14
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Software Architects at Samsung Ads know their product and architecture like the back of their hands. They relentlessly drive for excellence, focus on important issues, and solve complicated problems. They constantly innovate and make visions a reality, partnering with engineering managers and product managers to execute. They manage constraints and own what is possible. They coordinate amongst multiple sites worldwide and always work towards increased communication and productivity.

If this sounds like you, please read on!

Over the last few years, Samsung has been investing in building a portfolio of engaging services across its devices to complement its market-leading hardware business, while leveraging its unparalleled global distribution footprint. These services, coupled with a vast partner network and proprietary data, generate a massive opportunity for ad-based monetization. Six years into this journey, Samsung Ads is a highly successful and fast-growing business.

This business and its continued future success depend on the products, technologies, and tools owned by the Global Ads Product & Engineering team. Hundreds of people strong, with a substantial presence in five countries, the Global Ads P&E team is a dynamic and complex organization, operating across a broad spectrum of product and strategic domains.

POSITION SUMMARY

Our Architecture team is responsible for defining, refining, and guiding the execution of long, medium, and short-term visions for our systems, as well as for major investments across our product suite. In this role, you’ll report directly to our US Site Lead Architect in Mountain View, and you will be a close partner with Senior Engineering and Product Leadership.

Our tech stack includes a mixture of Python, Erlang, Go, Java, Scala, Snowflake, Spark and Kubernetes running on AWS cloud. This role requires an incumbent who has previously architected big data systems in AdTech specifically as it is focused on Ad Serving and Ad Solution initiatives that touch our DSP , Audience and Ad Measurement platforms.

You will enjoy this job if you have a deep innate passion for software engineering, distributed systems, systems architecture, and big data. You will need to demonstrate a wide breadth across multiple engineering disciplines, while also having depth in several key areas. You should have an eye and a knack for some product work (both authoritative and working with product teams in refining and defining their vision).

Language agnostic polyglots will excel in this role!

Finally, at Samsung Ads we believe success in an Architect role specifically requires strong communication skills along with technical expertise. After all, it’s one thing to be right, it’s quite another to guide a large organization to get it right. The latter requires team work and building understanding, which means you will be expected to work with others and lead through influence as well through code.

Job Description

Key Responsibilities
  • Build high throughput high availability, cloud based, distributed platforms
  • Create new Tech Spec and Review the same from different Teams
  • Define scalable, high-performance architectures for data pipelines, reporting APIs, and platform services.
  • Mentorship:
    Provide technical mentorship and foster a culture of code quality, performance, and innovation.
  • Ability to effectively communicate ideas to peers and distributed teams
  • Contributing towards building a system with a test-driven development/Agile approach
  • 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.
  • Rapid Prototyping:
    Develop quick prototypes and proofs of concept to validate new ideas and accelerate innovation.
  • Extern…
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