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

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MidFull-time·Umowa o pracę
#323730·Dodano 25 dni temu·22
Źródło: Google
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Tech Stack / Keywords

Software DevelopmentSQLAlgorithmsNetworksArchitectureData StructuresBig DataMachine Learning

Firma i stanowisko

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Google Cloud Performance, Reliability, and Observability team develop unified debugging, profiling, and analytics tools for customers, ranging from dashboards to debug individual request handling traces, to in-depth cross-component analysis of system behaviour. They explore options of using machine learning to automate anomaly detection in Google Cloud control plane systems.


Wymagania

  • 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.

Preferred qualifications:

  • 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.

Obowiązki

  • 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 customers (e.g., Google Compute Engine and other Google Cloud teams) to understand requirements, debug problems, and anticipate needs.

Inne informacje

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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