Payments Partner Engineer

At gTech’s Users and Products team (gUP), our mission is to help users get the most out of Google. We represent the Google's users and many of our partners globally, sharing user insights with the larger Google organization to enable exceptional customer and product experiences.

gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google’s consumer products ecosystem and enabling numerous launches for Google’s consumer products each year.

Ireland: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Analyse and resolve complex technical problems and roadblocks around data and tools access.
• Identify opportunities to optimise and automate workflows across a wide variety of projects.
• Work closely with Product Managers and Software Engineers to improve or develop new Google tools and products.
• Collaborate with Consumer and Engineering teams to write complex code and implement tools to improve troubleshooting efficiency and the end user experience.
• Manage stakeholder expectations and communicate with internal teams and external consumers, advertisers, and publishers to provide technical and business feedback as well as deliver technical solutions.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience in technical support, professional services, software development, or product operations management.
• 3 years of experience in web technologies (e.g., HTTP, HTML, XML), databases, SQL queries, and coding in Java, Python, or C/C++.
• 2 years of experience working with database technologies (e.g., SQL, NoSQL).
• Experience working with systems (e.g., Linux, Unix, Windows).
• Experience delivering technical projects and making technical decisions.

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 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 in an investigative role such as business intelligence, data analytics, or statistics.