gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.
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.
Responsibilities
- Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
- Be responsible for proactively scoping, designing, and building a 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 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 working with database technologies (e.g., SQL, NoSQL).
- Experience in investigative roles such as business intelligence, data analytics, or statistics.
- Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
- Experience in using machine learning and building solutions.