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Sr. Backend Engineer with Data Science

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 3+ years

💸 Salary: 130000.0 - 200000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Fingerprint👥 101-250💰 $33,000,000 Series C over 1 year agoFraud DetectionCyber SecuritySoftware

🗣️ Languages: English

⏳ Experience: 3+ years

Requirements:
  • 3+ years of experience in backend development with exposure to data science.
  • Strong experience in designing, developing, and maintaining scalable backend systems.
  • Experience working with real-time data processing and APIs.
  • Excellent coding skills, particularly in GoLang (or equivalent), with working knowledge of data engineering practices.
  • Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
  • Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
Responsibilities:
  • Collaborate with the Smart Signals Product team to improve fraud detection signals, including browser bot detection, VM detection, VPN detection, and more.
  • Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
  • Build and enhance backend systems for real-time data processing.
  • Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
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Related Jobs

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🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 Software Development

  • 3+ years of experience in backend development with exposure to data science.
  • Experience working with real-time data processing and APIs.
  • Excellent coding skills, particularly in GoLang (or equivalent), with working knowledge of data engineering practices.
  • Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
  • Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
  • Collaborate with the Smart Signals Product team to improve fraud detection signals, including browser bot detection, VM detection, VPN detection, and more.
  • Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
  • Build and enhance backend systems for real-time data processing.
  • Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
Posted 26 days ago
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