Software Engineer - Cloud Infrastructure

Software Engineer, Cloud Infrastructure Engineering

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience working with large datasets in SQL.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 2 years of experience with software development in the Java programming language.
• Experience in capacity planning and resource management.
• Experience in developing and working with large-scale distributed systems.
• Experience as a software engineer with knowledge of three or more of the following areas: Application Programming Interfaces (APIs) and services, distributed systems, tools, testing infrastructure, and monitoring infrastructure.

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.

The team's mission is to deliver efficient compute solutions across Google. We design and enhance resource products that optimize resource usage, ensuring compute products align with multiple business needs. The focus includes working in collaboration with the Operations and Infrastructure Data Science (ODS) team on statistical modeling to provide capacity, integrating compute resource management tools, and creating new cluster management products that maximize efficiency. We collaborate with teams throughout Google to drive efficiency and usability, covering Machine Learning (ML) and non-machine learning use cases in a variety of environments.

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

• Create system reliability and support for resource management with the Spatial Flexibility technical leadership team as part of the creation and execution of deliverables.
• Build technical solutions from the ground-up as part of the global Spatial Flexibility team.
• Develop, maintain, and simplify systems.
• Collaborate with team across the United States (e.g., West coast), India and Poland.
• Improve compute and ML resource efficiency to impact Google's bottom line and the net environmental impact.

Experience Level

Mid Level