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Design and maintain Google Cloud services across their full lifecycle, from inception through deployment and operation. This staff-level role requires eight years of software development experience, three years leading projects, and three years designing and troubleshooting distributed systems. Focus on system reliability through monitoring, automation, incident response, and capacity planning while scaling systems sustainably and improving velocity.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation, and refinement.
  • Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
  • Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
  • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

  • Experience working in computing, distributed systems, storage, or networking.
  • Experience effectively, efficiently, and responsibly applying AI tooling and workflows to engineering practices.
  • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
  • Ability to debug, optimize code, and to automate routine tasks.
  • Systematic problem-solving approach, coupled with effective verbal and written communication skills.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 3 years of experience leading projects.
  • 3 years of experience designing, analyzing, and troubleshooting distributed systems.
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  • Role Staff Software Engineer, Site Reliability Engineering, Google Cloud
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Germany
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
Germany Right to work in Germany required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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