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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 one or more of the following languages: SQL, R, Python, or C++.
  • Experience in deriving actionable insights from complex data sources across cybersecurity or anti-fraud.
  • Ability to understand complex engineering systems and processes.
  • Excellent communication and presentation skills.
  • Problem-solving and critical thinking skills.

What You'll Be Doing

  • Building AI-based capabilities to automate incident response and generate threat intelligence.
  • Transforming and automating team processes by developing AI Agents.
  • Applying threat intelligence to respond to new adversarial campaigns.
  • Managing the response to incidents targeting Google Accounts.
  • Working with the Operations team to scale operational work.

Perks and Benefits

  • Fast-paced environment with opportunities to innovate.
  • Contribute to solving critical business challenges at a global scale.
  • An opportunity to learn and make a real impact.
AI Summary ✨
Google logo

Google

Zurich, Switzerland

Experience: Mid-level
Posted: September 11, 2026
Last seen: an hour ago
Express
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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