Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 1 year of experience with software design and architecture.
• Experience with distributed systems and infrastructure systems.
• Experience with Generative AI Agent.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Experience programming in C, C , Java or Python.
• Experience working with customers and partner teams to gather requirements and understand usage patterns and pain points.
• Excellent written and verbal communication skills, with the ability to create strong working relationships with cross-functional teams.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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 Cloud Storage EngProd is part of Storage EngProd, whose mission is to take the end-to-end engineering velocity of Google's distributed data storage systems and make it fast, safe and predictable. GCS stores the vast majority of Google's bytes and is a key system backing both Google Cloud and internal systems (YouTube, Photos, Docs, Sheets, Gmail, etc.).

In this role, you will work directly with the Partner teams, understand their needs and mak their releases faster. You will do this by creating services and tools to automate painful workflows, and designing dashboards to put information at developers' fingertips. Expect to wear many hats, and to learn new parts of the Google toolkit!
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.

The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Create systems, tools, AI agents, and automation to make releases easier, more consistent, and safer.
• Build AI systems and tools to automate toil and accelerate engineers.
• Manage, simplify, and decouple releases of legacy monoliths into microservices.
• Design and implement frameworks to ensure quality of planet-scale, complex storage systems.

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Requisition #: 97863452944409286

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