Senior Ads Solutions Engineer, Gtech

Google Google · Big Tech · Dublin, Ireland +1

This role focuses on engineering solutions for Google Ads, building and scaling platforms to support customer growth and enhance ad experiences. It involves collecting requirements, designing and building reusable solutions, adapting existing ones for global scale, and managing the full solution lifecycle. The role requires strong technical skills in client-side web technologies and programming languages, with experience in cloud and machine learning being preferred.

What you'd actually do

  1. Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
  2. Be responsible for scoping, designing, and building series of solutions and best practices at a global level to be reused by customers, sellers, partners.
  3. Leverage engineering skills to adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that can support thousands of customers.
  4. 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.

Skills

Required

  • 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.

Nice to have

  • 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).