Senior Ads Solutions Engineer, gTech Ads Solutions Engineering (English, Portuguese)
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.
Ads Solutions Engineering (ASE) is the Hub for Innovation and Engineering excellence that power Customer growth and exceptional Ads experiences in the Global Business Organization. We drive Customer and Business growth by bringing innovative engineering solutions to more customers, partners, agencies to accelerate growth at global scale. We build platforms to help deliver solutions enabling growth with agility and efficiency. We automate workflows and externalize technology and media solutions for amplified reach.
As an Ads Solutions Engineer within gTech Ads, you will be focused on both solutioning and scaling at a global level, partnering with regional stakeholders, product teams, and specialists, and re-envisioning the way gTech Ads goes to market across customer segments. The role provides the opportunity to create a bold technical goal in the ads solutions space empowering customers and teams across the organization.
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.
- Ability to communicate in English and Portuguese fluently to engage with local stakeholders.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an investigative 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 systems (e.g., Linux, Unix, Windows).