Senior Ads Solutions Engineer, gTech

Google • Operating Systems • Streaming & OTT Platforms • Bachelor's Degree • Python • JavaScript • SQL • C++ • 3 days ago

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Salary

≈ $82k – $185k per year (Estimated)

Location

In office (Dublin)

Seniority

Senior · 6+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 24, 2026. Google scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Google

Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

google.com • HQ: Mountain View, United States • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

About the job

As a part of the Ads Solutions Engineering, you will be the hub for innovation and engineering excellence that power customer growth and exceptional ads experiences in the Global Business Organization.

In this role, you will bring innovative engineering solutions to more customers, partners, and agencies to accelerate growth at global scale. You will build platforms to help deliver solutions enabling growth with agility and efficiency. You will automate workflows and externalize tech and media solutions for amplified reach.

You will focus on solutioning at a global level, partnering with regional stakeholders, product teams, and specialists, and re-envisioning the way Google Technical Services Ads goes to market across customer segments.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €114000 - €116000 (EUR) + 15% bonus target + equity + benefits

Poland: zł340000 - zł348000 (PLN) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
Be responsible for scoping, designing, and building series of solutions and best practices at a global level to be reused by customers, sellers, partners.
Leverage engineering skills to adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support thousands of customers.
Own the solution life cycle from discovery, to launch, managing maintenance bugs and feature requests, as well as deprecation for a portfolio of scaled solutions.

Qualifications

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience troubleshooting technical issues for internal/external partners or customers.

Preferred qualifications:

Master’s degree in Engineering, Computer Science, Business, or a related field.
Experience in an analytical role such as business intelligence, data analytics, or statistics.
Experience working with database technologies (e.g., SQL, NoSQL).
Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
Experience using machine learning and building solutions.
Experience working with systems (e.g., Linux, Unix).

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