Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in Go, Python, C or Java.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience architecting database solutions for high-availability applications.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 1 year of experience in a technical leadership role.
- Experience with containerization and Kubernetes (K8s) on cloud.
About the jobGoogle Distributed Cloud (GDC) is a portfolio of fully managed hardware and software that brings Google Cloud's infrastructure directly to the edge and customer data centers. Powered by Anthos, Google Distributed Cloud is designed for high-performance local data processing and low-latency workloads. It particularly addresses organizations with strict requirements regarding data sovereignty, residency, and privacy.
In this role, you will design intelligent workflows that manage everything from AI-optimized hardware ordering to zero-touch deployments and turn-up processes across Google Distributed Cloud's global fleet (both Air-gapped and Connected). You will evolve traditional infrastructure management into a smart, self-managing platform powered by autonomous AI agents.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities - Gather requirements and document.
- Design systems and de-risk.
- Implement and test in Go and Python.
- Deploy and monitor.
- Engage cross-functionally with partner engineering teams like Supply Chain, New Product Introduction (NPI), Infrastructure, Operations, etc.
