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

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

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• PhD in Computer Science or related technical fields, 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.

Preferred qualifications:

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

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.

The Google Cloud Performance, Reliability, and Observability team develop unified debugging, profiling, and analytics tools for our customers, ranging from dashboards to debug individual request handling traces, to in-depth cross-component analysis of system behaviour. We explore options of using machine learning to automate anomaly detection in Google Cloud control plane systems.

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

• 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.