Join Google's Professional Services team, a creative and customer-centric group dedicated to delivering foundational services and innovative business solutions for top advertisers and publishers. We empower customers to achieve their business objectives and build lasting capabilities through expert technical implementation, optimization, and tailored solutions. Google is committed to making the world a better place, and gTech plays a vital role in bringing our products and services to life. Our global teams of trusted advisors offer deep technical expertise, product knowledge, and a thorough understanding of complex customer needs to ensure they leverage the full potential of Google products.

This role involves collecting requirements, providing expert guidance, and defining best practices for ad products and technologies. You will be responsible for scoping, designing, and building globally scalable solutions and best practices for reuse by customers, sellers, and partners.

Leverage your engineering acumen to adapt existing bespoke ad solutions from regional teams into robust, globally scaled solutions capable of supporting thousands of customers. You will own the entire solution lifecycle, from initial discovery and launch through maintenance, bug fixes, feature requests, and eventual deprecation for a portfolio of scaled solutions.

We are looking for candidates with a Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent practical experience. A minimum of 6 years of experience is required in client-side web technologies such as HTML, CSS, JavaScript, or HTTP.

Additionally, you should possess 6 years of coding experience in at least one programming language like Java, C/C++, or Python, and demonstrate experience in troubleshooting technical issues for internal/external partners or customers. A Master's degree in Engineering, Computer Science, Business, or a related field is preferred, along with experience in database technologies (SQL, NoSQL), investigative roles (business intelligence, data analytics, statistics), cloud technologies, and machine learning solutions.