6 days ago
Responsibilities
- Drive technical wins for Application Modernization, Infrastructure Modernization, and AI workloads in Retail and Energy.
- Lead development and prototyping of functional, customer-tailored solutions for technical customer stakeholders.
- Partner with account, platform, and outcome teams on integrating advanced architectures into legacy ecosystems.
- Advocate for and build with Google Cloud AI and Machine Learning portfolios.
- Liaise with Practice GTM, Product Management, and Engineering teams to resolve deployment blockers and influence future features.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
- Experience in deployment planning, orchestration, or change management.
- Experience with programming languages such as Python, Java, or Go, along with debugging or systems design.
- Preferred experience selling or promoting Application Modernization, Infrastructure Modernization, and cloud migration solutions.
- Preferred experience working with product and capacity teams, developing and deploying solutions in digital-native or startup environments, and knowledge of Enterprise Performance Management platforms and system architecture integrations.
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh