Software Engineer, PhD, Performance, Reliability, Observability, Early Careers

Requirements:

• PhD degree in Computer Science, or a related technical field, or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with software development with the use of SQL and advanced algorithms.
• 2 years of experience with developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture.

Nice to haves:

• 2 years of experience with data structures and algorithms.
• Experience with one or more of the following: data analysis, big data, f1-sql, log analysis, machine learning.
• Experience developing accessible technologies.

What you'll be doing:

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Contribute to further development of automations and tooling.
• Collaborate on performance and reliability issues involving massive amounts of data and information.
• Work with our customers (e.g., Google Compute Engine and other Google Cloud teams) to understand requirements, debug problems, and anticipate needs.