Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Experience with systems engineering practices, including incident response, monitoring, service-level objectives, and change management.
• Experience with Machine Learning Infrastructure.
• Experience in Distributed Cloud/On-Premise, production operations for isolated systems and understanding the challenges of predictable software installation and upgrades in air-gapped.

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 cloud-centric platform that enables enterprises to run modern apps anywhere consistently at scale. We offer a wide spectrum of solutions from managed software on your own hardware, fully managed hardware and AI-led software services, to completely air-gapped sovereign offerings. GDC is a fully managed product portfolio that brings Google Cloud’s infrastructure and services closer to where customer data is being generated and consumed. Empowering customers to run AI-led Services in their own(or partner) datacenter, or at the edge, alongside enterprise applications to support mission-critical use cases such as computer vision and Google AI edge inferencing.

We build AI-native, agentic workflows automating global GDC hardware ordering and deployment, ensuring efficient, scalable, zero-touch operations across connected and air-gapped fleets.

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

• Transform GDC's Day 0, 1, and 2 operations to be fast, reliable, autonomous and unified with
  Google Cloud Platform (GCP) experience. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the long-term technical direction and roadmap within, and often beyond, the scope of your teams.
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).