Staff Software Engineering, Google Distributed Cloud Hosted

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 - Airgapped (GDCag) is a new, converged hardware and software solution that brings selected Google Cloud services on-premises. It is designed for customers who need to run cloud workloads in air-gapped (no connectivity to Google Cloud) and highly secure environments due to regulations or policies, while still gaining operational efficiency and a consistent GCP experience.

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.

Responsibilities

• Build a scalable and robust platform that support key business deliverables for GDCag. Work closely with a variety of GDCag teams, GCP teams, and external vendors to ensure the timely delivery of GDCag software stack.
• Influence and shape the security architecture and roadmap of GDCag in live threat detection, vulnerabilities detection and remediation.
• Collaborate with GDCag Product Management, Principles, and Architecture to solve broad, impactful problems to raise the bar for quality, robustness, operability and velocity.
• Define Agentic-AI opportunities in GDCag in space of fault remediation and architect, design, and land solutions.
• Drive parity of GDCag security components with GCP security architecture.