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Design and implement resilient, long-running operations and orchestration workflows on Google's cluster management systems while driving architectural improvements across services like AlloyDB, Cloud SQL, and BigQuery. You'll take end-to-end ownership of distributed systems challenges, eliminate operational toil, and contribute to automation tooling. Requires a bachelor's degree, five years developing large-scale infrastructure software, three years designing distributed systems, and two years in a technical leadership role.

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Job Description

  • Design and implement resilient, multi-step long-running operations and manage orchestration workflows on Google's cluster management systems.
  • Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Google Cloud services like AlloyDB, Cloud SQL, and BigQuery.
  • Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
  • Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with large-scale infrastructure software development coding in one or more general purpose programming languages.
  • 3 years of experience in designing, investigating, and troubleshooting distributed systems.
  • 2 years of experience in a technical leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 5 years of experience in data structures and algorithms.
  • Experience with databases and data processing pipelines
  • Knowledge of enterprise networking and AI systems and tools.
  • Strong track record of solving complex problems, thriving in ambiguity and change and achieving significant impact.
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with large-scale infrastructure software development coding in one or more general purpose programming languages.
  • 3 years of experience in designing, investigating, and troubleshooting distributed systems.
  • 2 years of experience in a technical leadership role.
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  • Role Senior Software Engineer, Cloud Datastream and Database Migration Service
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Israel
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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
Israel Right to work in Israel required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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