Agency and Partner Engineer
- Location
- Bengaluru, Karnataka, India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 2,460 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
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 .
Be responsible for proactively identifying and building a series of solutions and best practices for agencies and partners globally. Leverage engineering skills to design and scale complex, cross-product customized solutions to be rolled out to thousands of customers globally. Collect requirements, provide guidance, best practices and innovative solutions to apply ad products and technologies and drive agency/partner and gTech business goals.
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 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 ad tech products - ad server, DSPs, DMPs, and web analytics and understanding of engineering solutions built for scale.