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 job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google 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.

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.