Join Google's gTech Professional Services team, where we leverage a creative, collaborative, and customer-centric approach to deliver foundational services and innovative business solutions to leading advertiser and publisher clients. Our focus is on technical implementation, optimization, and crafting key solutions that empower customers to achieve their business objectives while fostering long-term capabilities. We play a vital role in bringing Google's impactful products and services to life, offering global support to customers through our technical expertise, deep product knowledge, and understanding of their unique challenges.

Whether developing custom solutions for specific issues or creating scalable tools for widespread use, our mission is to ensure customers fully benefit from the potential of Google products. Explore more about gTech through our engaging video.

Gather client requirements and provide expert guidance on best practices for implementing ad products and technologies. Proactively scope, design, and build reusable solutions and best practices at a global scale for customers, sellers, and partners. Utilize engineering skills to adapt existing bespoke ad solutions from regional teams into globally scalable solutions capable of supporting thousands of customers. Manage the entire solution lifecycle, from initial discovery and launch to ongoing maintenance, bug fixes, feature requests, and eventual deprecation for a portfolio of scaled solutions.

A Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience is required. Candidates must possess at least 6 years of experience with client-side web technologies such as HTML, CSS, JavaScript, or HTTP. Additionally, a minimum of 6 years of coding experience in one or more programming languages, including Java, C/C++, or Python, is essential. Proven experience in troubleshooting technical issues for internal/external partners or customers is also a prerequisite.

Preferred qualifications include a Master’s degree in Engineering, Computer Science, Business, or a related field. Experience with database technologies like SQL and NoSQL is beneficial. Familiarity with investigative roles such as business intelligence, data analytics, or statistics is advantageous. Experience in cloud technologies, including architecting, developing, or maintaining cloud solutions in virtualised environments or cloud data engineering, is highly valued. Expertise in machine learning and building related solutions is also a plus.