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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Engineering Analyst, Account and Device Intelligence

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or equivalent practical experience.
  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 2 years of experience in Data Science, Applied AI, or similar technical roles.

Nice to haves:

  • 2 years of experience or familiarity with SQL, R, Python, or C++.
  • Experience in deriving actionable insights, root causes, and intelligence from complex data sources across cybersecurity or anti-fraud.
  • Ability to understand complex engineering systems and processes.
  • Excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to detail.

What you'll be doing:

  • Build AI-based capabilities to automate Incident Response and generate threat intelligence.
  • Automate and scale team processes by developing AI Agents.
  • Manage response to incidents targeting Google Accounts.
  • Collaborate with other teams to respond to adversarial campaigns.

Perks and Benefits:

  • Opportunity to work on cutting-edge technologies at a global scale.
  • Chance to innovate and make a real impact.
  • Collaboration with cross-functional teams at Google.
  • Continuous learning and development opportunities.
AI Summary ✨
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Google

Zurich, Switzerland

Experience: Staff
Posted: September 16, 2026
Last seen: 3 minutes ago
Nodejs
Python
machinelearning

Why we track Google

Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.

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